| "Mastering System Administration with PowerShell 6.x" |
| "PowerShell combines command-line speed, the flexibility of scripting, and the power of a GUI-based admin tool. Virtually all of the server products Microsoft is producing right now can be managed through PowerShell. From an administrative standpoint, this means that if you become proficient in PowerShell, youll have the skill set needed to manage most of Microsoft's newer products.Well start with Windows System Administration and explore different features, services, shares, and permissions. Then youll move forward with Windows Management Instrumentation (WMI), which is an essential aspect of PowerShell 6. After that, youll work on managing remote systems, learn to create and connect reusable remote sessions to multiple systems, invoke commands on remote machines, and close connections and delete remote sessions.Youll discover what managing your infrastructure through code means using the popular Desired State Configuration feature of PowerShell. Finally, youll see how PowerShell has expanded its influence across the datacenter, as you use PowerShell to manage Active Directory, Azure, IIS, and more.By the end of this course, youll be able to perform complex automation tasks using PowerShell 6 and will have mastered the new features and changes that it brings.About the AuthorMichael Simmons is an author, trainer, and IT Professional with over 20 years of experience managing and administering technology and helping the people that use it. He has developed multiple popular and successful video courses on the topic of Windows System Administration and PowerShell.He started using PowerShell and became involved in the community in 2007.As a PowerShell expert and evangelist, he continues to spread knowledge from an admin/tech support perspective. Hes driven to teach IT professionals to write great code, empowering them to take control of their job and lead an inspiring career.His technical and industry coverage has been featured on leading technology industry news and how-to sites,"
Price: 124.99 |
| "Hybrid Operational Management with Azure" |
| "Microsofts Operations Management Suite provides you with management services that allow you to efficiently manage your on-premises and cloud resources and quickly set up your hybrid cloud with minimal investment using Azure. This video tutorial will enable you to leverage the different hybrid solutions using Azure to build your own fully functional hybrid Azure cloud.In this course youll explore different hybrid solutions using Azure, learn to simplify your cloud deployment with Azure stack, and host resources on the cloud with Microsoft OMS. Youll dive into OMS recovery services, work with different Azure Backup policies and types, and also disaster recovery with Azure Site Recovery. Youll work with OMS Automation and Configuration Management, and automate and run your cloud with the help of Azure Automation runbooks.Then youll learn to analyze your project logs and report any failures with the help of different custom logging and alert management solutions. Finally, youll get ready to set up, manage, and monitor your hybrid clouds performance with Microsoft Azure and Operations Management Suite.By the end of this tutorial, youll be able to utilize Azures services to set up an effective and efficient hybrid cloud management with Operations Management Suite.About the AuthorBrian Christopher Harrison has been involved with Microsoft Azure since 2012, and is currently a Cloud Solutions Architect at Microsoft. He has been involved in Microsoft training, has actively blogged and spoke about Azure on Microsoft's site, and also has his own screencasts."
Price: 124.99 |
| "R Deep Learning Solutions" |
| "Deep learning is the next big thing. Its a part of machine learning. Its favorable results in applications with huge and complex data is remarkable. R programming language is very popular among data miners and statisticians.This course will help you resolve problems during the execution of different tasks in deep learning, neural networks, and advanced machine learning techniques. We start with different packages in deep learning, neural networks, and structures. Well also encounter the applications in text mining and processing along with a comparison between CPU and GPU performance. It will also take you through complex deep learning algorithms and various deep learning packages and libraries in R.By the end of the course, youll have an understanding of deep learning and different deep learning packages so you have the most appropriate solutions for your problems.About the AuthorsAchyutuni Sri Krishna Rao is a Data Scientist, a Civil Engineer and an Author. He has spent last 4 years in developing many data science solutions to solve problems from leading companies in healthcare, pharmaceutical and manufacturing domain. He is working as Data Science Consultant at ZS Associates.Sri Krishnas background involves a masters in Enterprise Business Analytics and Machine Learning from National University of Singapore, Singapore. His other educational background involves a Bachelors from National Institute of Technology Warangal, India.Sri Krishna has published widely in research areas of civil engineering. He has contributed in a book titled Algorithms and Data Structures using R published by PACKT.Dr. PKS Prakash is a data scientist and author.He has spent the last 12 years in developing many data science solutions in several practical areas in healthcare, manufacturing, pharmaceuticals, and e-commerce. He currently works as the data science manager at ZS Associates. He is the co-founder of Warwick Analytics, a spin-off from University of Warwick, UK. Prakash has published articles widely in research areas of operational research and management, soft computing tools, and advanced algorithms in leading journals such as IEEE-Trans, EJOR, and IJPR, among others. He has edited an article on Intelligent Approaches to Complex Systems and contributed to books such as Evolutionary Computing in Advanced Manufacturing published by WILEY and Algorithms and Data Structures using R and R Deep Learning Cookbook, published by PACKT."
Price: 124.99 |
| "Advanced Data Visualization Solutions" |
| "With businesses understanding and valuing their data more and more these days, their requirements turn complex one step at a time, which may lead to several roadblocks when plotting those visualizations. These minor blocks can be frustrating as there are little or no solutions available online.After finishing this course, youll be able to easily maneuver through common issues. Well also go through some complex problems you may face, so you are always prepared with a solution for visualization at work. Well cover problems and solutions in Tableau (the best visualization tool as ranked by the Gartner report 2017). In this course, our aim is to provide a solution to the visualization problem so that you can implement if needed in any other visualization tool too.About the AuthorMohammed Topiwalla is currently working as a Data Analyst at Servify. Prior to this, he worked at Tech Mahindra and has graduated from Narsee Monjee College with a degree in Information Technology. He has also completed a postgraduate diploma in data analytics from S. P. Jain.Mohammed often wondered how something as simple as a phones sensor can explain to us everything about a users activities and how a visualization could explain to a business user everything that there is about their business with some amazing insights in under 5 minutes. This made him switch to the amazing world of data science and visualization. Having worked with some talented people in this field, Mohammed finds it amazing, as the end results are always solutions that could impact many lives and make them a bit easier.Mohammed is also interested in Artificial intelligence, Neural Networks, and IoT. He is also skilled at writing Python scripts for ingestion into a big data system from production environments, Dev Ops, and creating Android Applications and WordPress websites. Mohammed believes that a visualization artist is only good if they have the capability to explain their visualization to a layman flawlessly. This skill is something he excels in, making him a strong candidate to not just explain how to make a powerful visualization, but how to make a visualization independent of any tool.When hes not working, Mohammed loves to meet new people and learn new things"
Price: 124.99 |
| "Machine Learning with Go" |
| "The mission of this course is to turn you into a productive, innovative data analyst who can leverage Go to build robust and valuable applications. To this end, the course clearly introduces the technical aspects of building predictive models in Go, but also helps you understand how machine learning workflows are applied in real-world scenarios.This course shows you how to be productive in machine learning while also producing applications that maintain a high level of integrity. It also gives you patterns to overcome challenges that are often encountered when trying to integrate machine learning in an engineering organization.Youll begin by gaining a solid understanding of how to gather, organize, and parse real-work data from a variety of sources. Then youll develop a solid statistical toolkit that will allow you to quickly understand gain intuition about the content of a dataset. Finally, youll gain hands-on experience of implementing essential machine learning techniques (regression, classification, clustering, and so on) with the relevant Go packages.By the end, youll have a solid machine learning mindset and a powerful Go toolkit of techniques, packages, and example implementationsAbout the AuthorDaniel Whitenack (@dwhitena), PhD, is a trained data scientist working with Pachyderm (@pachydermIO). Daniel develops innovative, distributed data pipelines that include predictive models, data visualizations, statistical analyses, and more. He has spoken at conferences around the world (GopherCon, JuliaCon, PyCon, ODSC, Spark Summit, and more), teaches data science/engineering at Purdue University (@LifeAtPurdue), and, with Ardan Labs (@ardanlabs), maintains the Go kernel for Jupyter, and is actively helping to organize contributions to various open source data science projects."
Price: 124.99 |
| "TensorFlow for Machine Learning Solutions" |
| "TensorFlow is an open source software library for Machine Intelligence. The independent solutions in this video course will teach you how to use TensorFlow for complex data computations and will let you dig deeper and gain more insights into your data than ever before. Youll work through solutions on training models, model evaluation and sentiment analysis each using Googles machine learning library TensorFlow.This guide starts with the fundamentals of the TensorFlow library which includes variables, matrices, and various data sources. Moving ahead, you will get hands-on experience with Linear Regression techniques with TensorFlowAbout the AuthorNick McClure is currently a senior data scientist at PayScale, Inc. in Seattle, WA. Prior to this, he has worked at Zillow and Caesar's Entertainment. He got his degrees in Applied Mathematics from The University of Montana and the College of Saint Benedict and Saint John's University.He has a passion for learning and advocating for analytics, machine learning, and artificial intelligence. Nick occasionally puts his thoughts and musings on his blog, or through his Twitter account, @nfmcclure."
Price: 124.99 |
| "Building AR Applications with Unity and Vuforia" |
| "The possibilities of Augmented Reality in application development is limitless and with the use of AR.js providing a framework with a set of utilities, we have a solution for efficiently doing AR on the web. It is very fast, provides pure web solution, open source and cross-platform. So anybody with a modern phone can enjoy open-source AR applications.Vuforia is the latest addition within the new version of unity engine and one of the top AR SDKs on the market today.In this course you will learn to create AR applications using Unity and Vuforia and deploy them directly to our mobile devices for Android platform, and a brief on implementing these to iOS platform as well. You will begin by learning the main features of Vuforia by creating a simple application. You will be introduced to Vuforia developer portal, where you can access the marker database to create your own custom markers to use for your projects. Once you have a good understanding of how the Vuforia SDK can work, you will then explore different facets of AR development. A few useful applications will take a look into an AR drawing app, an object identifier/translator, a voice activated app and a face tracking app (like Snapchat). By creating these projects you will be able to understand the vast possibilities of AR technology and explore its important features.By the end of this course you will have a firm understanding of how to develop AR focused applications using Unity and Vuforia, and also how other technologies can be used in development to extend the functionalities of these apps.About the AuthorDaniel Wise has worked in various career paths both domestic and abroad, and since then he focused on the tech field. He began his journey learning programming while he lived abroad in Busan, South Korea. His interest in tech began to grow after being accepted into the Flatiron School and returned to the USA to pursue this new career.He has gained experience in the tech field not just on the development side but on the business side as well. His experience and hard work running an indie game studio (known as Ultima Game Studios) paid off when their game demo was chosen to be exhibited at PAX East 2017. This experience in the gaming industry allowed him to utilize his talents in both development and marketing.Currently he is a busy freelancer, handling projects in Unity development and also writing technical lessons to share his knowledge online. He believes that it is his duty to help others learn about tech/coding while creating projects and learning new things himself. He also assesses promotional ideas and strategies for those looking to promote their businesses online."
Price: 124.99 |
| "Kali Linux 2017 Wireless Penetration Testing for Beginners" |
| "Kali Linux is rated as the #1 security operating system for hackers. With the Linux operating system and its core structure based on Debian, it comes jam-packed with all the tools you need to penetration-test your websites. Kali Linux has gained popularity over the last few years with the rise of hacker groups (Anonymous, Lizard Squad, Ghost Squad Hackers, and others).Kali Linux was built for hackers, by hackers. Throughout this course, we will be discussing new products to add to your ethical pen testing tool belt, including antennas, Android devices, and laptops. We will learn how to use high-powered antennas to search and reach wireless networks from afar, and then utilize a variety of tools to find hidden wireless networks and crack passwords.The end goal of this course is to be able to connect to a wireless network, by utilizing various tools and software programs, and hack into wireless networks, even if they are protected by the WEP/WPS/WPA/WPA2 security protocols.About the Authors :Aubrey Love was born and raised in Texas USA, he has achieved several certifications for programming in various languages. He has designed and developed custom websites, set up servers, and secured websites and servers using Nginx/Apache, Fail2Ban, and other Utilities. Working with companies of all shapes and sizes, using WordPress and Custom Sites, it is a fun and fascinating world out there for a programmer! He serves as a freelance programmer by day, and an Author by night.Vijay Kumar Velu is a passionate information security practitioner, author, speaker, and blogger. He is currently working as associate director in one of the Big4 based in Malaysia. He has more than 11 years of IT industry experience, is a licensed penetration tester, and has specialized in providing technical solutions to a variety of cyber problems, ranging from simple security configuration reviews to cyber threat intelligence and incident response. He also holds multiple security qualifications, including Certified Ethical Hacker, EC-council Certified Security Analyst, and Computer Hacking Forensics Investigator.Vijay has been invited to speak at the National Cyber Security Summit (NCSS), Indian Cyber Conference (InCyCon), Open Cloud Conference, and other ethical hacking conferences held in India, and he has also delivered multiple guest lectures and training on the importance of information security at various business schools in India.He has authored a book entitled Mobile Application Penetration Testing, and also reviewed Learning Android Forensics, Packt Publishing.For the information security community, Vijay serves as a member of the board in Kuala Lumpur for Cloud Security Alliance (CSA) and the chair member of the National Cyber Defense and Research Center (NCDRC) in India. Outside work, he enjoys playing music and doing charity.Vijay is an early adopter of technology and always listens to any crazy ideasso if you have an innovative idea, product, or service, do not hesitate to drop him a line."
Price: 124.99 |
| "Cybersecurity Attacks (Red Team Activity)" |
| "There is only way to become really good at cybersecurity: you must know both how to attack and how to defend. First of all, you have to learn to think like a hacker, so you deeply understand what the threats are. Then youll need to know how to protect yourself from the attacks. We start with precise descriptions and examples of network attacks to show you how the malicious hackers can break into your networkand what harm they can do. Then well look at another attack vector: websites and web-applications. Youll see the most vulnerable places and understand what cybercriminals will do if they find them.Then well discover the third vector of attacks: humans.Refined hackers know how to hack a human brain first to hack digital assets. Youll find out what social engineering, phishing, and spear-phishings, and why theyre becoming especially dangerous today.By the end of this course, youll be able to locate all your vulnerabilities and remediate them before malicious hackers find and exploit themAbout the AuthorSergii Nesterenko is Information Security Consultant and Penetration Tester with 20 years experience in the information security and 6 years in the cybersecurity field. He consults international business companies, military staff, NGOs, politicians, Members of Parliament, law enforcement, and other VIP on security issues. His wide knowledge in information technologies and human psychology let him elaborate effective technologies to prevent and overcome most cunning cyberattacks. He has also known for his publications and lectures on cybersecurity, anti-fraud, and counter-cyberespionage issues."
Price: 124.99 |
| "Learning React with Redux and Flux" |
| "Redux is a web application development architecture often used with React. In Redux, the entire state of your application is kept in a single store that can only be changed by special action objects that are specified by reducers. This course is a complete introduction to Redux and Flux, covering and comparing the new paradigms and teaching you how to create React web applications with Redux and Flux from the ground up.Youll begin by exploring the basics of React to get a sense of how rendering, state management, and data flow work. You will then pull state management out of components as you create your own version of FLUX. Once finished, youll scrap the implementation in favor of Redux, and start adding functionality to browse data from an API. Finally, well come back to our roots and explore some React-only solutions for state management, learning how to do things that we might normally tend to rely on FLUX and Redux to accomplish.About the AuthorSam Slotsky is a software engineer and saxophonist originating from Sioux City, IA. He attended the University of Iowa for Computer Science and Music and is currently employed by Ackmann & Dickenson, Inc. of Minneapolis, specializing in back-end web applications, databases, and JavaScript. Additionally, Sam has authored and contributed to open source packages for use with the React, Redux, Knockout, and Meteor framework. Cooking and playing chess are his favorite pastime activities.Husband and father of three, he writes software programs during the day, cooks in the evening, listens to jazz obsessively, and has a bit of a thing for cycling."
Price: 124.99 |
| "Information Security" |
| "Information security mechanism is one of the most crucial factor for any organization. Important assets of organization demand a proper risk management and threat model for security and hence, information security concepts are gaining a lot of traction. This course will initially cover the concept of information security and software installations process. It will then move on to modules like threat modelling, risk management and mitigation.This Course covers the network and web scanning . Later in the course it teaches how to use Kali Linux for ethical hacking, it will have different practicals on using Kali Linux such as for information gathering, vulnerability analysis, web application analysis, database assessment and password attacks and have some hands-on experience. It will also cover concepts of incident response system, information rights management and so on. It will then guide you towards building your own information security framework best fit for your organization.At the end of this course, you will be well versed with all the factors involved with information security which would help you build a security framework which will be perfect fit for your organizational requirementAbout the AuthorSunil Gupta is a Computer Science Engineer as well as a web Security Specialist working in the field of Cyber Security . In this area he works on different hacking tools and techniques .His Strength: Vulnerability Assessment Penetration Testing Wi-Fi Assessment Intrusion Detection Risk's Identification Data Analysis Report and Briefing.Tools used - Class-Dump-Z, Cycript, GNU Debugger, Fiddler, Nmap, Wikto, Brutus, WireShark, Burp Proxy, Paros Proxy, Cain and Abel, John the Ripper, Hydra, Metasploit, netcat, openssl, ike tools, Back track tools, Nessus, IBM-AppScan, Acunetix, Nikto, NetSparker, MicrosoftBaseline Security Analyzer (MBSA), Web Securify, Nipper.Platforms - Windows, Linux operating System."
Price: 124.99 |
| "Machine Learning with Scikit-learn" |
| "Machine learning is the buzzword bringing computer science and statistics together to build smart and efficient models. Using powerful algorithms and techniques offered by machine learning, you can automate any analytical model. This course examines a variety of machine learning models including popular machine learning algorithms such as k-nearest neighbors, logistic regression, naive Bayes, k-means, decision trees, and artificial neural networks. It also discusses data preprocessing, hyperparameter optimization, and ensemble methods. You will build systems that classify documents, recognize images, detect ads, and more. Youll learn to use scikit-learns API to extract features from categorical variables, text and images; evaluate model performance; and develop an intuition for how to improve your models performance. By the end of this course, you will master all required concepts of scikit-learn to build efficient models at work to carry out advanced tasks with the practical approach."
Price: 124.99 |
| "Java Network Programming Recipes" |
| "Java provides numerous classes that have developed over the years to meet evolving networking needs. These range from low-level socket and IP-based approaches to those encapsulated in software services.This practical tutorial provides a complete introduction to developing network programs with Java. We start with the basics of networking and then explore how Java supports the development of clients/servers. Youll explore how to use Javas network class library to rapidly and effortlessly accomplish common networking tasks such as writing multithreaded servers, network scalability, implementing application protocols, and filtering clients and client names. Java NIO packages are examined as well as multitasking, building hands-on NIO buffers, scatter and gather, and transferring data to channels and selectors.By the end of this video tutorial, you will have mastered networking fundamentals (and advanced concepts) in Java to ensure you understand (and are capable of building) networked programs.AuthorPeter Verhas is a senior developer and software system architect with more than 30 years of software development experience. He currently works for EPAM as a senior developer, where he is involved in many customer projects and actively participates in the education activities of the company. Peter writes a technical blog and is committed to open source software development. He has been using Javasince 2005 and is also an author at Java Code Geeks."
Price: 124.99 |
| "LEARNING PATH: Ansible: Guide to Master Ansible 2" |
| "Jenkins is the most popular and leading open-source automation server for Continuous Integration and Continuous Delivery because of its flexibility due to which you can easily use to automate all the steps in your software delivery process on any platform.This comprehensive 2-in-1 training course is designed to give you a foundation in the concepts of Continuous Integration and Continuous Delivery, and implementing them with Jenkins. It will show you how to set up your CI environment, by installing and configuring Jenkins Master/Nodes, introducing the main parts of the tool, and effectively configuring Jenkins projects to build and test a software application.Contents and OverviewThis training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible.The first course, Effective Jenkins: Getting Started with Continuous Integration, covers key concepts of Continuous Integration, as well Continuous Deployment. You will understand the main parts of Jenkins and create different types of Jenkins projects to automate everything that you want. You will finish the first course by looking at a Java web project and creating the necessary steps to build and test it, thereby empowering you to implement it in a real project.The second course, Effective Jenkins: Continuous Delivery with Jenkins Pipeline, covers key concepts of DevOps and delve into Jenkins Pipeline, a set of plugins that provides a toolkit for designing simple-to-complex delivery pipelines as code. To design a production-ready delivery pipeline, you will start by creating a simple pipeline and understanding Jenkins Pipeline terms and its particularities. Next, you will set up Docker to create isolated build environments. To consolidate your learning, you will create a delivery pipeline to build, test, and deploy a Java web project.By the end of this training program youll be thoroughly equipped with the concepts of Jenkins and will be able to configure Jenkins effectively to build, test, and deploy your software.About the AuthorRodrigo is a Certified Jenkins Engineer and has 14+ years' experience in software development with different programming languages and technologies in different countries (Brazil, US, Portugal, Germany, and Austria) and projects in companies ranging from financial institution to game and e-commerce ventures including Walmart, Goodgame Studios and HERE. He is an enthusiastic practitioner of Agile methodologies, Continuous Delivery, and DevOps, with large-scale adoption experience. He is always seeking to optimize the software development life cycle through automation, process improvements, and developing new tools and techniques. Rodrigo holds a B.S. in Computer Science and a postgraduate qualification in Software Engineering."
Price: 199.99 |
| "LEARNING PATH: R: Advanced Data Analysis with R" |
| "R offers a large variety of packages and libraries for fast and accurate data analysis and visualization. As a result, its one of the most popularly used languages by data scientists and analysts, or anyone who wants to perform data analysis. With its popularity as a statistical programming language rapidly increasing with each passing day, R is increasingly becoming the preferred tool of choice for data analysts and data scientists who want to make sense of large amounts of data as quickly as possible. R has a rich set of libraries that can be used for basic as well as advanced data analysis tasks. R can be called as a good or the best choice for data analysis for the following reasons:Data visualization: This allows analyzing data from angles which are not clear in unorganized or tabulated data. R has many tools that can help in data visualization, analysis, and representationSpecificity: R is a language designed especially for statistical analysis and data reconfiguration. All the R libraries focus on making one thing certain - to make data analysis easier, more approachable and detailed. Any new statistical method is first enabled through R libraries. This makes R a perfect choice for data analysis and projection.Machine learning: At some point in data science, a programmer may need to train the algorithm and bring in automation and learning capabilities to make predictions possible. R provides ample tools to developers to train and evaluate an algorithm and predict future events. Thus, R makes machine learning (a branch of data science) lot more easy and approachable.Availability: R programming language is open source. This makes it highly cost effective for a project of any size. Since it is open source, developments in R happen at a rapid scale and the community of developers is huge. All of this, along with a tremendous amount of learning resources makes R programming a perfect choice to begin learning R programming for data science.Data wrangling: Data wrangling is the process of cleaning messy and complex data sets to enable convenient consumption and further analysis. This is a very important and time taking process in data science. R has an extensive library of tools for database manipulation and wrangling.This comprehensive 2-in-1 course is a handy guide to take your understanding of data analysis with R to the next level. It will give you an exposure to real-world projects that focus on problems in finance, network analysis, social media, and more. From data manipulation to analysis to visualization in R, this comprehensive 2-in-1 course will teach you everything you need to know about building end-to-end data analysis pipelines using R. It will teach you how to deploy advanced data analysis techniques to gather useful business insights from your data. It will help you, use the popular R packages to analyze clusters, time-series data, and more. Contents and OverviewThis training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible.The first course, R Data Analysis Projects, covers understanding of data analysis with R. It describes how you can put to use your existing knowledge of data analysis in R to build highly efficient, end-to-end data analysis pipelines without any hassle. Youll start by building a content-based recommendation system, followed by building a project on sentiment analysis with tweets. Youll implement time-series modeling for anomaly detection and understand cluster analysis for streaming data. Youll work through projects on performing efficient market data research, building recommendation systems, and analyzing networks accurately, all provided with easy to follow code. With the help of these real-world projects, youll get a better understanding of the challenges faced when building data analysis pipelines, and see how you can overcome them without compromising on the efficiency or accuracy of your systems. The Learning Path covers some popularly used R packages such as dplyr, ggplot2, RShiny, and others, and includes tips on using them effectively.The second course, Mastering Data Analysis with R, covers selected advanced data analysis concepts such as: cluster analysis; time-series analysis; Association mining; PCA (Principal Component Analysis); handling missing data; sentiment analysis; spatial data analysis with R and QGIS; advanced data visualization with R and ggplot2.>. It is an in-depth content balanced with tutorials that put the theory into practice. This course is a practical tutorial to help you get beyond the basics of data analysis with R, using real-world datasets and examples.By the end of this training program youll have a better understanding of data analysis with R as well as advanced data analysis concepts, and will be able to put your knowledge to practical use without any hassle.About the AuthorsGopi Subramanian is a scientist and author with over 18 years of experience in the fields of data mining and machine learning. During the past decade, he has worked extensively in data mining and machine learning, solving a variety of business problems. He has 16 patent applications with the US and Indian patent offices and several publications to his credit. He is the author of Python Data Science Cookbook by Packt Publishing.Dr. Bharatendra Rai is Professor of Business Statistics and Operations Management in the Charlton College of Business at UMass Dartmouth. He received his Ph.D. in Industrial Engineering from Wayne State University, Detroit. His two master's degrees include specializations in quality, reliability, and OR from Indian Statistical Institute and another in statistics from Meerut University, India. He teaches courses on topics such as Analyzing Big Data, Business Analytics and Data Mining, Twitter and Text Analytics, Applied Decision Techniques, Operations Management, and Data Science for Business. He has over twenty years' consulting and training experience, including industries such as automotive, cutting tool, electronics, food, software, chemical, defense, and so on, in the areas of SPC, design of experiments, quality engineering, problem solving tools, Six-Sigma, and QMS. His work experience includes extensive research experience over five years at Ford in the areas of quality, reliability, and six-sigma. His research publications include journals such as IEEE Transactions on Reliability, Reliability Engineering & System Safety, Quality Engineering, International Journal of Product Development, International Journal of Business Excellence, and JSSSE. He has been keynote speaker at conferences and presented his research work at conferences such as SAE World Conference, INFORMS Annual Meetings, Industrial Engineering Research Conference, ASQs Annual Quality Congress, Taguchi's Robust Engineering Symposium, and Canadian RAMS. Dr. Rai has won awards for Excellence and exemplary teamwork at Ford for his contributions in the area of applied statistics. He also received an Employee Recognition Award by FAIA for his Ph.D. dissertation in support of Ford Motor Company. He is certified as ISO 9000 lead assessor from British Standards Institute, ISO 14000 lead assessor from Marsden Environmental International, and Six Sigma Black Belt from ASQ."
Price: 199.99 |
| "LEARNING PATH: Jenkins: The Road to Effective Jenkins" |
| "Jenkins is the most popular and leading open-source automation server for Continuous Integration and Continuous Delivery because of its flexibility due to which you can easily use to automate all the steps in your software delivery process on any platform. This comprehensive 2-in-1 training course is designed to give you a foundation in the concepts of Continuous Integration and Continuous Delivery, and implementing them with Jenkins. It will show you how to set up your CI environment, by installing and configuring Jenkins Master/Nodes, introducing the main parts of the tool, and effectively configuring Jenkins projects to build and test a software application. Contents and Overview This training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible. The first course, Effective Jenkins: Getting Started with Continuous Integration, covers key concepts of Continuous Integration, as well Continuous Deployment. You will understand the main parts of Jenkins and create different types of Jenkins projects to automate everything that you want. You will finish the first course by looking at a Java web project and creating the necessary steps to build and test it, thereby empowering you to implement it in a real project. The second course, Effective Jenkins: Continuous Delivery with Jenkins Pipeline, covers key concepts of DevOps and delve into Jenkins Pipeline, a set of plugins that provides a toolkit for designing simple-to-complex delivery pipelines as code. To design a production-ready delivery pipeline, you will start by creating a simple pipeline and understanding Jenkins Pipeline terms and its particularities. Next, you will set up Docker to create isolated build environments. To consolidate your learning, you will create a delivery pipeline to build, test, and deploy a Java web project. By the end of this training program youll be thoroughly equipped with the concepts of Jenkins and will be able to configure Jenkins effectively to build, test, and deploy your software. About the Author Rodrigo is a Certified Jenkins Engineer and has 14+ years' experience in software development with different programming languages and technologies in different countries (Brazil, US, Portugal, Germany, and Austria) and projects in companies ranging from financial institution to game and e-commerce ventures including Walmart Goodgame Studios and HERE. He is an enthusiastic practitioner of Agile methodologies, Continuous Delivery, and DevOps, with large-scale adoption experience. He is always seeking to optimize the software development life cycle through automation, process improvements, and developing new tools and techniques. Rodrigo holds a B.S. in Computer Science and a postgraduate qualification in Software Engineering."
Price: 199.99 |
| "Solving 10 Hadoop'able Problems" |
| "The Apache Hadoop ecosystem is a popular and powerful tool to solve big data problems. With so many competing tools to process data, many users want to know which particular problems are well suited to Hadoop, and how to implement those solutions.To know what types of problems are Hadoop-able it is good to start with a basic understanding of the core components of Hadoop. You will learn about the ecosystem designed to run on top of Hadoop as well as software that is deployed alongside it. These tools give us the building blocks to build data processing applications. This course covers the core parts of the Hadoop ecosystem, helping to give a broad understanding and get you up-and-running fast. Next, it describes a number of common problems as case-study projects Hadoop is able to solve. These sections are broken down into sections by different projects, each serving as a specific use case for solving big data problems.By the end of this course, you will have been exposed to a wide variety of Hadoop software and examples of how it is used to solve common big data problems.About the AuthorTomasz Lelek is a Software Engineer who programs mostly in Java and Scala. He is a fan of microservice architectures and functional programming. He dedicates considerable time and effort to be better every day. Recently, he's been delving into big data technologies such as Apache Spark and Hadoop. He is passionate about nearly everything associated with software development.Tomasz thinks that we should always try to consider different solutions and approaches to solving a problem. Recently, he was a speaker at several conferences in Poland - Confitura and JDD (Java Developer's Day) and also at Krakow Scala User Group.He also conducted a live coding session at Geecon Conference."
Price: 124.99 |
| "Data Visualization in Python by Examples" |
| "Data visualization is just a wise investment in your future big-data needs. You will learn how to deploy maps and networks to display geographic and network data. To do this, we will focus on the following very popular libraries in Python: matplotlib, ggplot, seaborn, and plotly. In this course, you will walk through some of the fundamentals of data visualization, sharing many examples of how to handle different types of data and how best to present your insights. We'll take a look at chart types, such as Matplotlib for visualizing the impact of tornadoes in the US, North Korean nuke tests on global stocks, and analyze forex performances using charts. You will see how ggplot can be used to analyze trends in BRICS economies and crude oil price trends. You will see how to level up your data visualization skills using Python's advanced plotting libraries: matplotlib and Seaborn, and how you can present the data from the most unstable regions in the world through data visualization. You will then carry out a visual analysis of the performance of various Hollywood releases. Finally, you will use Plotly to plot comparative graphs of Apple iPhone version releases and compare the performance of gaming consoles such as Xbox and PlayStation.About the AuthorHarish Garg is a data scientist and a lead software developer with 17 years' software Industry experience. He worked for McAfeeIntel for 11+ years before starting his own software consultancy. He is an expert in creating Data visualizations using R, Python, and Web based visualization libraries."
Price: 124.99 |
| "LEARNING PATH: R: Advanced Deep Learning with R" |
| "Deep learning is the next big thing. Its a part of machine learning. Its favorable results in applications with huge and complex data is remarkable. R programming language is very popular among data miners and statisticians. Deep learning refers to artificial neural networks that are composed of many layers. Deep learning is a powerful set of techniques for finding accurate information from raw data. This comprehensive 2-in-1 course will help you explore and create intelligent systems using deep learning techniques. Youll understand the usage of multiple applications like Natural Language Processing, bioinformatics, recommendation engines, etc. where deep learning models are implemented. Youll get hands on with various deep learning scenarios and get mind blowing insights from your data. Youll be able to master the intricacies of R deep learning packages such as TensorFlow. Youll also learn deep learning in different domains using practical examples from text, image, and speech.Contents and OverviewThis training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible.The first course, Deep Learning with R, covers videos that will teach you how to leverage deep learning to make sense of your raw data by exploring various hidden layers of data. Each video in this course provides a clear and concise introduction of a key topic, one or more example of implementations of these concepts in R, and guidance for additional learning, exploration, and application of the skills learned therein.Youll start by understanding the basics of deep learning and artificial neural networks and move on to exploring advanced ANNs and RNNs. Youll dive deep into convolutional neural networks and unsupervised learning. Youll also learn about the applications of deep learning in various fields and understand the practical implementations of Scalability, HPC and Feature Engineering.Finally, starting out at a basic level, youll be learning how to develop and implement deep learning algorithms using R in real world scenarios.The second course, R Deep Learning Solutions, covers powerful, independent videos to build deep learning models in different application areas using R libraries. It will help you resolve problems during the execution of different tasks in deep learning, neural networks, and advanced machine learning techniques.Youll start with different packages in deep learning, neural networks, and structures. Youll also encounter the applications in text mining and processing along with a comparison between CPU and GPU performance. Finally, youll explore complex deep learning algorithms and various deep learning packages and libraries in R.By the end of this training program youll be able to to develop and implement deep learning algorithms using R in real world scenarios and have an understanding of different deep learning packages so youll have the most appropriate solutions for your problems.About the AuthorsVincenzo Lomonaco is a Deep Learning PhD student at the University of Bologna and founder of (ContinuousAI).com an open source project aiming to connect people and reorganize resources in the context of Continuous Learning and AI. He is also the PhD students' representative at the Department of Computer Science of Engineering (DISI) and teaching assistant of the courses Machine Learning and Computer Architectures in the same department. Previously, he was a Machine Learning software engineer at IDL in-line Devices and a Master Student at the University of Bologna where he graduated cum laude in 2015 with the dissertation Deep Learning for Computer Vision: A comparison between CNNs and HTMs on object recognition tasks"".Dr. PKS Prakash is a data scientist and an author. He has spent last the 12 years developing many data science solutions to solve problems from leading companies in the healthcare, manufacturing, pharmaceutical, and e-commerce domains. He currently works as data science manager at ZS Associates. Prakash has a PhD in Industrial and System Engineering from Wisconsin-Madison, U.S. He gained his second PhD in Engineering at the University of Warwick, UK. He has a masters degree from University of Wisconsin-Madison, U.S., and a bachelors degree from National Institute of Foundry and Forge Technology (NIFFT), India. He is co-founder of Warwick Analytics, which is based on his PhD work from the University of Warwick, UK. Prakash has been published widely in research areas of operational research and management, soft computing tools, and advanced algorithms in leading journals such as IEEE-Trans, EJOR, and IJPR among others. He edited an issue on ""Intelligent Approaches to Complex Systems"" and contributed to books such as Evolutionary Computing in Advanced Manufacturing published by Wiley and Algorithms and Data Structures using R published by Packt Publishing. Achyutuni Sri Krishna Rao is a data scientist, a civil engineer, and an author. He has spent the last four years developing many data science solutions to solve problems from leading companies in the healthcare, pharmaceutical, and manufacturing domains. He currently works as a data science consultant at ZS Associates. Sri Krishnas background is a masters in Enterprise Business Analytics and Machine Learning from the National University of Singapore, Singapore. He also has a bachelors degree from the National Institute of Technology Warangal, India. Sri Krishna has been published widely in the research areas of civil engineering. He contributed to the book Algorithms and Data Structures using R published by Packt Publishing."
Price: 199.99 |
| "Learning Java 9 Modular Programming" |
| "Modularity is a general concept which applies to writing and implementing a program or computing system as a number of unique modules, rather than as a single, monolithic design. If you're interested in building a standardized interface to enable the modules to communicate you would need to partition your environment of software constructs into distinct modules to help minimize coupling, optimize application development, and reduce system complexity.The course starts by diving deep into Advanced Object Oriented concepts like inner classes, object composition, encapsulation, and polymorphism which will be demonstrated through a simple extension to a vehicle modeling example. We will then demonstrate how to correctly managing external dependencies in Java with the use of Maven. Here, you will build strong foundations on firstly how to correctly structure a Java Maven project, before working through a hands-on example of parsing a CSV file using the Apache Commons library, providing a clear example of the benefits of using third-party libraries to accomplish common tasks. Moving along, you will be exposed to one of the major new features of Java 9: Project Jigsaw. Project Jigsaw is one of the most substantial changes to the Java programming language in recent years, we will discuss the goals of the project, as well as the impact it will have on our world. We will conclude the product with an example of how a modularise a larger and more complicated Java application. Taking this course will teach you how to correctly structure Java projects, starting with Maven dependency management, and moving on to project Jigsaw - the modularisation of the Java language. Filled with examples to leverage external dependencies to solve common problems, such as parsing a JSON file you will also learn how to use inner classes the right way.Exploring concepts of composition, encapsulation, and polymorphism will enable scalability down to small computing devices, Improved application performance; Making it easier for developers to construct and maintain libraries and large applications.About The AuthorColibri is a technology consultancy company founded in 2015 by James Cross and Ingrid Funie. The company works to help its clients navigate the rapidly changing and complex world of emerging technologies, with deep expertise in areas such as big data, data science, machine learning, and cloud computing. Over the past few years it has worked with some of the world's largest and most prestigious companies, including a tier 1 investment bank, a leading management consultancy group, and one of the world's most popular soft drinks companies, helping each of them make better sense of its data and process it in more intelligent ways. The company lives by its motto: Data -> Intelligence -> Action.James Cross is a Big Data Engineer and certified AWS Solutions Architect with a passion for data-driven applications. Hes spent the last 3-5 years helping his clients to design and implement huge scale streaming Big Data platforms, Cloud-based analytics stacks, and serverless architectures.He started his professional career in Investment Banking, working with well-established technologies such as Java and SQL Server, before moving into the Big Data space. Since then hes worked with a huge range of Big Data tools including most of the Hadoop eco-system, Spark and many No-SQL technologies such as Cassandra, MongoDB, Redis and DynamoDB. More recently his focus has been on Cloud technologies and how they can be applied to data analytics, culminating in his work at Scout Solutions as CTO, and more recently with Mckinsey.James is an AWS certified solutions architect with several years experience designing and implementing solutions on this cloud platform. As CTO of Scout Solutions Ltd, he built a fully serverless set of APIs and analytics stack based around Lambda and Redshift.Colibri is a technology consultancy company founded in 2015 by James Cross and the company works to help their clients navigate the rapidly changing and complex world of emerging technologies.He is interested in almost anything that has to do with technology. He has worked with everything from Wordpress to Hadoop, from C++ to Java, and from Oracle to DynamoDB. If it's new and solves a problem in an innovative way hes keen to give it a go!"
Price: 124.99 |
| "High Performance Applications with C++" |
| "C++ has come a long way and has now been adopted in several contexts. Its key strengths are its software infrastructure and resource-constrained applications. The C++ 17 release will change the way developers write code, and this video course will help you master your developing skills with C++. With real-world, practical examples explaining each concept, the course will begin by introducing you to the latest features in C++ 17. It encourages clean code practices in C++ in general and demonstrates the GUI app-development options in C++.By the end of the course, youll have an in-depth understanding of the language and its various facets.About the AuthorJeganathan Swaminathan, Jegan for short, is a freelance software consultant and founder of TekTutor, with over 17 years' IT industry experience. In the past, he has worked for AMD, Oracle, Siemens, Genisys Software, Global Edge Software Ltd, and PSI Data Systems. He has consulted for Samsung WTD (South Korea) and National Semiconductor (Bengaluru). He now works as a freelance external consultant for Amdocs (India). He also works as a freelance corporate trainer. He holds CSM, CSPO, CSD, and CSP certifications from Scrum Alliance. He is a polyglot software professional and his areas of interest include a wide range of C++, C#, Python, Ruby, AngularJS, Node.js, Kubernetes, Ansible, Puppet, Chef, and Java technologies. He is well known for JUnit, Mockito, PowerMock, gtest, gmock, CppUnit, Cucumber, SpecFlow, Qt, QML, POSIX Pthreads, TDD, BDD, ATDD, NoSQL databases (MongoDB and Cassandra), Apache Spark, Apache Kafka, Apache Camel, Dockers, Continuous Integration (CI), Continuous Delivery (CD), Maven, Git, cloud computing, and DevOps. You can reach him for any C++, Java-, Qt-, QML-, TDD-, BDD-, and DevOps-related training or consulting assignments. Jegan is a regular speaker at various technical conferences."
Price: 124.99 |
| "Designing and Building Custom Apps using Dynamics 365" |
| "This course demonstrates the new features released with Microsoft Dynamics 365 Customer Engagement. Using the new Unified User Interface, this course uses a sample application to show how to build complex extensions to the Dynamics 365 for Customer Engagement platform using C# Plugins/Workflow Activities as well as TypeScript generated web resources.Starting off, the course makes sure you have everything setup for fast and effective collaborative development and a mature Continuous Integration pipeline using Microsoft Team Services, npm, Nuget & Gulp. This includes automated unit testing of both server-side and client-side code as well as packaging and deploying of your solutions.It then teaches you a framework for effective data modeling of entities within Dynamics 365 and how functionality can be built up in iterations using user story mapping.Learn about base currencies, to ensure that your custom apps do not run into any challenges as they grow in complexity and usage. The logical and physical architecture of integration with external systems is examined using the new Web-Hooks and Virtual Entity features, allowing data to be both consumed and output in a robust and efficient fashion.The new Xrm client API features of the Unified Client provide exciting new ways of extending your forms and grids which are demonstrated using the sample application being built.You'll then learn to extend your Microsoft Dynamics 365 Customer Engagement business applications using HTML, TypeScript, and CSS using KnockoutJS via the MVVM design pattern so that your logic can be unit tested and deployed with easy and effortless repeatability. This course also covers the considerations for mobile touch interfaces so that your feature rich extensions will work on all devices and formats.About the AuthorScott is a Microsoft Business Solutions MVP specializing in Dynamics 365. He is a committed and passionate software architect & technologist with a successful track record of realizing business vision through enterprise/application architectures that are tightly aligned with budget and timescales. By combining his detailed technical knowledge with a clear grasp of the wider commercial issues Scott can identify and implement practical solutions to real business problems. Scott is an excellent communicator and technical author, regularly speaking at conferences in the UK and abroad. Scotts software career spans more than 20 years where he has moved from assembly language device driver programming, industrial control software and then into enterprise business applications. His experience covers work in Europe, North America, and Japan. He is also the author of the Ribbon Workbench for Dynamics CRM and SparkleXRM.Scott lives near Oxford in the UK with his wife, Kerrie, and three children. To read more about his latest projects, you can also follow him on Twitter at @ScottDurow."
Price: 124.99 |
| "LEARNING PATH: Learning Docker and Kubernetes" |
| "Docker is a portable container format that allows you to run code anywhere from your desktop to the cloud. Docker's workflow makes development, testing, and deployment much easier and much faster. Kubernetes has established itself as the standard platform for container management, orchestration, and deployment. To deploy Docker for real-world applications and gain hands-on experience with, deploying and managing market leading cloud platforms, you must be familiar with the basic concepts of Docker.This comprehensive 2-in-1 course teaches you to deploy and manage applications on leading cloud platforms, such as Docker and Kubernetes. Youll learn through practical demonstrations, clear explanations, and interesting real-world examples. It will give you a versatile range of Docker and Kubernetes skills, which you will put to work in your own applications. This training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible. The first course, Learning Kubernetes, starts off with basic installation of Kubernetes and all its dependencies. You will then learn deployment patterns and concepts for making Kubernetes highly-available. You will also learn how to manage a local Kubernetes deployment using MiniKube, Next, you will understand how to use secrets in your applications by creating and decoding secrets. You will learn to deploy your docker applications on Kubernetes. The second course, Working with Advanced Docker Operations, teaches you how to create pods and multi-container pods. You will then learn how to use services and volumes with pods such as labels and selectors, Kubernetes services, creating secrets and ConfigMaps, and plain and persistent volumes.You will also learn how to install the ELK stack, view logs in Kibana, and view performance data in Grafana. Next, you will learn how to use continuous integration techniques to automatically build and test Docker images. You will be glanced through some use cases on containers wherein each use case highlights a particular problem and you will find how Docker helps solve it. By the end of this training program, youll be able to use Kubernetes orchestration system, monitor Docker cluster, and automate your applications to build, test, and deploy. Meet Your Expert(s): We have the best work of the following esteemed author(s) to ensure that your learning journey is smooth: Braithe E.S. Warnock is currently a managing cloud architect for the financial services division of Ernst & Young. He has had the opportunity to work with several of the largest PCF installations on an international scale. He helped build the framework for the adoption of PCF at top companies such as Ford, Comcast, DISH, HSBC, and Charles Schwab. As a vendor-neutral consultant, he enjoys helping people understand the rapidly-evolving world of cloud and application architecture. He has more than six years of experience and specialization in global digital transformations. He has expertise in various cloud and cloud platform technologies (PCF, AWS, Azure, VMware, Netflix OSS, Kubernetes, and OpenShift) and also the Java and Spring Boot frameworks. He has developed over 100 microservices using Spring Boot, Java 7/8, Spring Cloud, and Netflix OSS, spanning half a dozen unique cloud-native microservice architectures. He also has experience in developing machine learning models using AWS, Spark, and MLlib to support product recommendations and enhance customer data. Randall Smith is a senior systems administrator at Adams State University. He has been administering Windows, Linux, and BSD systems since 1999.He has been active in helping other sysadmins solve problems online and off. He has presented at the Colorado Higher Ed Computing Organization and Educause conferences on topics including Linux KVM and Ceph.In his spare time, Randall streams Let's Play gaming videos at Music Free Gaming on YouTube and Twitch."
Price: 199.99 |
| "Advanced Shiny" |
| "Shiny combines the computational power of R with the interactivity of the modern web. Along with hosting standalone apps on a webpage or embedding them in R Markdown, you can also extend your Shiny apps with CSS themes, htmlwidgets, and JavaScript actions.At first, we begin by covering new Shiny functions, allowing you to save and restore the state of a Shiny application. Here you will learn to create a fully-featured application by exploring and analyzing the data with the use of an example. Moving on, this application will be used to demonstrate their use and function. Bookmarking and reading URLs, reading client information from browsers as well as passwords, and the use of functions and modules will all be added to the application. Next, you will learn about using JavaScript within Shiny applications. From a simple script to improve the appearance of an application to a more advanced application. An interactive map will be added using the htmlwidgets package as well as using shinyjs to perform common JavaScript tasks without writing any JavaScript also learning graphic using the Google Charts API.Finally, you will learn the tips and tricks to share your applications. There are several ways to share Shiny applications: Gist, .zip, GitHub, and Shiny Server (cloud- and self-hosted), some of which require more work on your users part and some on your part. Get to explore the different methods with its advantages and disadvantages. By the end of this course, you will have all the information you will need on Shinys advanced techniques.About the AuthorChris Beeley is the author of Web Application Development with R using Shiny, now in its second edition. He has been using R since 2008 and works full time developing software to store, collate, and present questionnaire data using open technologies (MySQL, PHP, R, Shiny), with a particular emphasis on using the web and Shiny to produce simple and attractive data summaries. Chris has delivered talks about Shiny all over the country."
Price: 124.99 |
| "Salesforce Lightning Recipes" |
| "The new Lightning Experience combines three major componentsLightning Design System, Lightning App Builder, and Lightning Componentsto enable anyone to quickly and easily create beautiful, modern enterprise apps. If you wish to take up the challenges that Lightning throws at you head-on, then look no further because this practical video course will be your faithful companion and ensure that you make best use of the Lightning platform.This video course starts by walking you through the three major Lightning components and will help you enable and configure a Lightning solution. You will explore the art of working with standard components and build a basic layout for the application. Then, you will add more advanced components using the Lightning framework. Finally, you will also build and migrate reports and dashboards to make your app look more professional. Towards the end of the course, youll make use of the Design System to work with Salesforce data and lay out the entire page with the components that youve built, before integrating Visualforce in your application.About the AuthorSyed Shah is one of the pioneers in delivering trainings on ""Salesforce Lightning and he has worked on Salesforce since the last 7 yrs. He has developed Salesforce applications with SFDC Best Practices including functional gathering and application design for a number of companies like Infosys, Vodafone, HCL, Dell, Wipro, Mindtree, Sony, Nihon and Accenture."
Price: 124.99 |
| "Deep Dive into API Gateway & Building Serverless Application" |
| "In this course, well focus on the next component of AWS that offers serverless computingthe API gateway service. Youll learn how to develop the various parts of the API gateway. Then well look into deploying the API gateway. Well also show you how to secure the API gateway.Well look at the key aspect of how to integrate AWS Lambda and the API gateway. Finally, well look at the entire serverless architecture, putting all the key components together and then building a sample application using the entire serverless picture.About the AuthorAlan Rodrigues is a software technology evangelist with over 10+ years in the software industry. Being abreast with the latest technologies is what he does best. One life is just not enough to intake all the information the world has to offer, but he does his bit and takes it one step at a time. These are just a few of the technologies he is well-versed in: Cloud Services - Amazon Web Services. Certified in AWS as a SysOps Administrator. Well-versed in Azure Web Services as well. Business Intelligence SAP Business Objects, Informatica Powercenter. Atlassian suite of products (JIRA, JIRA Agile, JIRA service desk, Confluence, Bitbucket, Hipchat) Configuration, Continuous Integration - Subversion, Git, Jenkins, Atlassian Bamboo. Operating Systems - Windows server 2003, 2008 & 2012, Windows 7, 10, Ubuntu, CentOS. Databases - Oracle, MySQL, MongoDB, Microsoft SQL Server. Change and Release Management HPSM, HP uCMDB, Atlassian Service Desk."
Price: 124.99 |
| "Hands - On Reinforcement Learning with Python" |
| "Reinforcement learning (RL) is hot! This branch of machine learning powers AlphaGo and Deepmind's Atari AI. It allows programmers to create software agents that learn to take optimal actions to maximize reward, through trying out different strategies in a given environment.This course will take you through all the core concepts in Reinforcement Learning, transforming a theoretical subject into tangible Python coding exercises with the help of OpenAI Gym. The videos will first guide you through the gym environment, solving the CartPole-v0 toy robotics problem, before moving on to coding up and solving a multi-armed bandit problem in Python. As the course ramps up, it shows you how to use dynamic programming and TensorFlow-based neural networks to solve GridWorld, another OpenAI Gym challenge. Lastly, we take the Blackjack challenge and deploy model free algorithms that leverage Monte Carlo methods and Temporal Difference (TD, more specifically SARSA) techniques.The scope of Reinforcement Learning applications outside toy examples is immense. Reinforcement Learning can optimize agricultural yield in IoT powered greenhouses, and reduce power consumption in data centers. It's grown in demand to the point where its applications range from controlling robots to extracting insights from images and natural language data. By the end of this course, you will not only be able to solve these problems but will also be able to use Reinforcement Learning as a problem-solving strategy and use different algorithms to solve these problems.All the code and supporting files for this course are available on Github.About theAuthorColibri is a technology consultancy company founded in 2015 by James Cross and Ingrid Funie. The company works to help its clients navigate the rapidly changing and complex world of emerging technologies, with deep expertise in areas such as big data, data science, machine learning, and cloud computing. Over the past few years they have worked with some of the world's largest and most prestigious companies, including a tier-1 investment bank, a leading management consultancy group, and one of the world's most popular soft drinks companies, helping each of them to better make sense of its data, and process it in more intelligent ways.The company lives by its motto: Data -> Intelligence -> Action.Rudy Lai is the founder of QuantCopy, a sales acceleration startup using AI to write sales emails to prospects. By taking in leads from your pipelines, QuantCopy researches them online and generates sales emails from that data. It also has a suite of email automation tools to schedule, send, and track email performance - key analytics that all feedback into how our AI generates content.Prior to founding QuantCopy, Rudy ran HighDimension.IO, a machine learning consultancy, where he experienced first hand the frustrations of outbound sales and prospecting. As a founding partner, he helped startups and enterprises with HighDimension.IOs Machine-Learning-as-a-Service, allowing them to scale up data expertise in the blink of an eye.In the first part of his career, Rudy spent 5+ years in quantitative trading at leading investment banks such as Morgan Stanley. This valuable experience allowed him to witness the power of data, but also the pitfalls of automation using data science and machine learning. Quantitative trading was also a great platform to learn deeply about reinforcement learning and supervised learning topics in a commercial setting.Rudy holds a Computer Science degree from Imperial College London, where he was part of the Deans List, and received awards such as the Deutsche Bank Artificial Intelligence prize."
Price: 124.99 |
| "Serverless Azure Functions: Debugging, Deployment & Chatbots" |
| "Azure Functions provides great solutions for processing data, integrating systems, and building simple APIs to complex micro-services without having to worry about underlying infrastructure for scalability. This volume covers how a serverless application can be designed.By the end of the course you'll have mastered how Azure Functions can be a great tool to design highly scalable web services. You'll also have created an production-level solution of a chatbot with serverless tools such as CosmosDB and Queues with a good understanding of why they were chosen and how they play an important role in the design of the serverless architecture.About the AuthorOmkar Dusane is a software developer based in Mumbai, India. He has designed and developed many software products for startups. He is a food enthusiast and a Node.js lover, and was a senior Microsoft Student Partner who represented India at Microsoft Global Student Partner Summit in 2016. He is currently Product Engineer at Kennect Solutions Pvt. Ltd. Mumbai and is responsible for business execution and intelligence tools for various industries. He encourages serverless technologies and has an eye for scalability of new web technologies."
Price: 124.99 |
| "Introduction to Artificial Intelligence with Java" |
| "Artificial Intelligence, increasingly relevant in the modern world where everything is driven by technology and data, is the process of automating any system or process to carry out complex tasks and functions automatically, in order to achieve optimal productivity.This video explains the basics of AI using popular Java-based libraries and frameworks to build your smart applications. We will cover easy-to-complex artificial intelligence tasks such as genetic programming, heuristic searches, reinforcement learning, neural networks, and segmentation with the practical approach we mentioned earlier.By the end of this video, you will have a solid understanding of Artificial Intelligence concepts. You will be able to build your own smart applications for multiple domains, as required.About the AuthorNisheeth Joshi is an Associate Professor and a Researcher at Banasthali University. He has also done a PhD in Natural Language Processing.His areas of interest include Computational Linguistics, Natural Language Processing, and Artificial Intelligence. Besides this, he is also very actively involved in the development of MT engines. He is one of those experts empanelled within the TDIL Program, Department of Information Technology, Govt. of India, the premier organization that oversees Language Technology Funding and Research in India. He has several publications to his name in various journals and conferences and also serves on the program committees and editorial boards of several conferences and journals."
Price: 124.99 |
| "Advanced Geoserver" |
| "GeoServer is an open source server-side software written in Java that allows users to share and edit geospatial data. In this course, youll start by learning how to develope a Spatial Analysis Platform with Web Processing Services. Then youll see how to develop an algorithm by chaining together geospatial analysis processes, which you can share with anyone in the world.Next youll dive into a very important technique to improve the speed of your web map applicationtile caching. Here, youll understand how tile caching works, how to develop an effective tile cache-supported web service, and how to leverage the tile cache in your OpenLayers web application.Further on, youll see important tweaks to produce a performant GeoServer-backed web mapping application. By properly configuring your GeoServer instance, you can avoid performance bottlenecks for your end user. Next, well enable authentication and identity management for your application, where youll build a user-specific and secure web application through identity management and authentication. Moving on, youll enable authentication on the front and back ends to protect sensitive map data, and how to deliver sensitive data to your end user.Finally, youll see how to put your web application into production in a secure and user-friendly way. Here, well look at hosting of the OpenLayers, GeoServer, and data aspects of your application. Youll go beyond traditional web hosting to explore the full range of hosting options in the cloud, and maintaining a reliable server instanceAbout the AuthorBen Mearns, an expert on geospatial data, lives on a farm in Pennsylvania. He was previously the Lead Geospatial Information Consultant at University of Delaware where heas the senior GIS professional charged with leading, developing, and advising on GIS solutionsdeveloped the GeoServer-based campus mapping system. While at UD, he also led classes, lectured, and facilitated workshops on GIS, web development, data science, open software and data, and other technologies. He has held GIS and data positions at the University of Pennsylvania Cartographic Modeling Lab, Princeton University Department of Sociology, and Macalester College Department of Geography, as well as numerous IT consulting relationships with clients in a variety of fields."
Price: 124.99 |
