| "Advanced Statistics for Machine Learning" |
| "Complex statistics in Machine Learning worry a lot of developers. Knowing statistics helps you build strong Machine Learning models that are optimized for a given problem statement.This video will teach you all it takes to perform the complex statistical computations required for Machine Learning. You will gain information on statistics behind unsupervised learning, reinforcement learning, and more. You'll master real-world examples that discuss the statistical side of Machine Learning.In this video, you will acquire a deep knowledge of the various models of unsupervised and reinforcement learning, and explore the fundamentals of deep learning with the help of the Keras software. Furthermore, you'll gain an overview of reinforcement learning with the Python programming language.About the AuthorPratap Dangeti develops machine learning and deep learning solutions for structured, image, and text data at TCS, in its research and innovation lab in Bangalore. He has acquired a lot of experience in both analytics and data science. He received his master's degree from IIT Bombay in its industrial engineering and operations research program. Pratap is an artificial intelligence enthusiast. When not working, he likes to read about next-gen technologies and innovative methodologies. He is also the author of the book Statistics for Machine Learning by Packt."
Price: 124.99 |
| "Getting Started with C++17 Programming" |
| "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 course will help you master your developing skills with C++.With real-world, practical examples explaining each concept, the course begins by introducing you to the latest features in C++17. It encourages clean code practices in C++ in general.You'll get tips on avoiding memory leaks using smart-pointers. Next, you'll see how multi-threaded programming can help you achieve concurrency in your applications. Moving on, you'll get an in-depth understanding of the C++ Standard Template Library.Finally, we'll round up with debugging techniques and best practices. By the end of the course, you'll 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 |
| "Learning VMware App Volumes" |
| "App Volumes provide a virtualized, real-time application delivery engine for the virtual desktop infrastructure and is designed to enable VDI deployments to ensure greater flexibility, agility, and cost-reduction.This video starts with an overview of the architecture and components used to design an optimized solution. You will then learn how to install and configure App Volumes for different use cases such as VMware View Integration, using VMware Thin App, Citrix Xen App, and more. Throughout the course, we provide hints, tips, and tricks as well as best practices. By the end of the video, you will have built a working App Volumes environment and acquired the skills to build and run a production environment.About the AuthorPeter von Oven is an experienced technical consultant and has spent the past 20 years of his IT career working with customers and partners in designing technology solutions aimed at delivering true business value. During his career, Peter has been involved in numerous large-scale enterprise projects and deployments and has presented at key IT events, such as VMworld, IP EXPO, and various VMUGs and CCUG events across the UK. He has also worked in senior presales roles and presales management roles for some IT giantssuch as Fujitsu, HP, Citrix, and VMwareand was awarded VMware vExpert for 2015 and 2016. Over the past 12 years and more, Peter has focused his skills and experience by specializing in the desktop and application virtualization market and today works as the UK&I, Benelux, and Nordics Pre-Sales Director for the market-leading desktop transformation specialists, Liquidware Labs.Peter got his first taste for writing when assisting with some of the chapters in the book Building End-User Computing Solutions with VMware View, which then led to six other Packt titles: VMware Horizon Mirage Essentials; VMware Horizon Workspace Essentials, co-written with Peter Bjork and Joel Lindberg; VMware Horizon View Essentials; Mastering VMware Horizon 6, co-written with Barry Coombs; Learning VMware App Volumes; and Mastering VMware Horizon 7 Second Edition."
Price: 124.99 |
| "Version Control with TFVC" |
| "Version control helps you to track the changes you make in your code over time by taking a snapshot of each file when you edit the code. However,this phenomenon had limitations, as the team members only have one version of each file on their dev machines. TFVC is a centralized version control system that helps you to monitor changes and identify which team member checked into the Team Foundation Server. Using various functionalities such as compare and annotate, we can easily identify changes made by the team members.In this course, well dive into version control using Team Foundation Version Control (TFVC). Having a tool like TFVC is just the start of effective source code management. Understanding the concepts behind version control will really empower you to use the tool more effectively. Version control is more than just using a tool and understanding its concepts. The tool needs to be configured correctly so that you get the most out of it. Well show you how to configure your environment to work more effectively. Lastly, branching and merging are the mainstays in many version control systems. Understanding which branching strategy to use can be difficult. Well shed light on various branching strategies, and show you how to implement a strategy in TFVC.Lastly, we will learn about the branching strategy to work in an organization. Later, we will see how to use it, tracking the changes and merging the changes.About the AuthorPaul Hacker, a Principal Consultant with AgileThought, has over 15 years of application architecture, design, development, and management expertise in Microsoft technologies. Paul has a depth of experience in ALM, Process Improvement, and Team Foundation Server. Having distinguished himself as a leader in the IT industry he has been awarded the distinction of Microsoft MVP in the ALM category every year since 2006."
Price: 124.99 |
| "Practical Time Series Analysis" |
| "Time Series Analysis allows us to analyze data that is generated over a period of time and has sequential interdependencies between the observations. This video describes special mathematical tricks and techniques that are geared towards exploring the internal structures of time series data and generating powerful descriptive and predictive insights. Also, the tutorial is full of real-life time series examples and their analyses using cutting-edge solutions developed in Python. The video starts with a descriptive analysis to create insightful visualizations of internal structures such as trend, seasonality, and autocorrelation. Next, the statistical methods of dealing with autocorrelation and non-stationary time series are described. This is followed by exponential smoothing to produce meaningful insights from noisy time series data. At this point, we shift the focus towards predictive analysis and introduce autoregressive models such as ARMA and ARIMA for time series forecasting. Later, powerful deep learning methods are presented to develop accurate forecasting models for complex time series. All the topics are illustrated with real-life problem scenarios and their solutions by best-practice implementations in Python.About the AuthorSDr. Avishek Pal, PhD, is a software engineer, data scientist, author, and an avid Kaggler living in Hyderabad, India. He achieved his Bachelor of Technology degree in industrial engineering from the Indian Institute of Technology (IIT) Kharagpur and earned his doctorate in 2015 from University of Warwick, Coventry, United Kingdom.He started his career as a software engineer at IBM India developing middleware solutions for telecom clients. This was followed by stints at a start-up product development company followed by Ericsson, the global telecom giant.After doctoral studies, Avishek started his career in India as a lead machine learning engineer for a leading US-based investment company. He is currently working at Microsoft as a senior data scientist.Avishek has published several research papers in reputed international conferences and journals.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 |
| "Server-Side Development with Kotlin and Spring Boot" |
| "Kotlin is an open source programming language that makes it easy to build simple, reliable, and efficient software. Kotlin is a great fit for developing server-side applications, allowing web developers to write expressive code while maintaining full compatibility with existing Java-based technology stacks and providing a smooth learning curve. This video is a start-to-finish walkthrough of the topics most critical to anyone building a new web application. Whether keeping your application secure, connecting to your database, enabling token-based authentication, or developing Restful APIs, this video has you covered. You'll learn how to use Gradle with Kotlin and integrate it with Webpack, ECMAScript 8, and React to create elegant UIs for your web applications. You'll learn about routing requests and implementing SSL. Moving on, you'll get to know about best practices to keep user data safe. Finally you'll learn how to deploy your application on the cloud. By the end of the video, you will be able to build robust, secure, and fully-featured applications for the web.About the AuthorAlberto Di Martino is a software developer with Samsung Pay and has been working with Kotlin since it appeared. He is a Kotlin expert with and shares his rich and varied experience throughout this video tutorial."
Price: 124.99 |
| "Reactive Microservice Design" |
| "Reactive Microservice Designs are flexible, loosely-coupled, and scalable, which makes them easier to develop and amenable to change. They are also highly responsive, giving users effective interactive feedback while applying design principles by displaying properties such as Responsive, Resilient, Elastic, and Message-driven at all levels of scale, making them composable.This video course will show you how to successfully set up an IDE and use Apache Maven, so that you can begin developing apps using the Eclipse Vert.x platform. Next, it will teach you how to debug and deploy your applications with Docker right within the IDE, before you move on to learn the basics of Microservices and reactive programming. Further on, youll learn how to build a fake ledger application, where youll act as an online bank and handle thousands of transactions in your environment, all while being able to view the state of your application in real-time on your browser. Next, youll learn how to make your services discoverable and resilient to failure using service discovery and circuit breaker patterns. Then youll see how an unsecure Microservice can be secured with the current state of the art technologies such as JWT and OAuth2. Towards the end, well walk you through the differences between JWT and OAuth2 as well the different flows of Oauth2 and how they suit web applications. Youll then get familiar with authentication and authorization and will write the glue code to your Microservices to implement state of the art security.About The AuthorPaulo Lopes is a Principal Software Engineer at RedHat, where he focuses on developing the open source Eclipse Vert.x framework as one of the frameworks core developers. He is an experienced software developer with more than 15 years of experience, and is extremely passionate about reactive programming.He has presented at several conferences, such as Devoxx BE, JavaZone and CodeMotion about reactive programming from the back to the front end."
Price: 124.99 |
| "Advanced Elixir and OTP" |
| "Elixir is a dynamic, functional language designed for building scalable and maintainable applications. Elixir leverages the Erlang VM, known for running low-latency, distributed, and fault-tolerant systems, while also being successfully used in web development and the embedded software domain.In this course, we delve into more advanced features of the Elixir language. We explore the concurrent aspects of the language, how to manipulate complex data structures efficiently, meta programming, and OTP.By the end of this course, you'll have learned advanced topics on the Elixir language and OTP, as well as how to apply them to build robust modern applications.About the AuthorJoo Gonalves is a professional software engineer with over 7 years' experience in various areas of software development, from banking and telco software to embedded systems and web development. He has recently discovered and developed a passion for functional programming and finds Elixir a very enjoyable language to use."
Price: 124.99 |
| "Swift 4 Protocol-Oriented Programming" |
| "Swift has become the number one language used in iOS and macOS development. The Swift standard library is developed using Protocol-Oriented Programming techniques, generics, and first-class value semantics; therefore, every Swift developer should understand these powerful concepts and how to take advantage of them in their application design.This course will help you understand the differences between Object-Oriented Programming and Protocol-Oriented Programming. It demonstrates how to work with Protocol-Oriented Programming using real-world use cases. You will gain a solid knowledge of the various types that can be used in Swift and the differences between value and reference types. You will be taught how Protocol-Oriented Programming techniques can be used to develop very flexible and easy-to-maintain code.By the end of the course, you will have a thorough understanding of Protocol-Oriented Programming and how to utilize it to build powerful and practical applications.About the authrJon Hoffman has over 25 years of experience in the field of information technology. Over these years, Jon has worked in the areas of system administration, network administration, network security, application development, and architecture. Currently, Jon works as a senior software engineer for Syn-Tech Systems.Jon has developed extensively for the iOS platform since 2008. This includes several apps that he has published in the App Store, apps that he has written for third parties, and numerous enterprise applications. He has also developed mobile applications for the Android and Windows platforms. What really drives Jon the challenges that the field of information technology provides and there is nothing more exhilarating to him than overcoming a challenge.Some of Jons other interests are spending time with his family, robotic projects, and 3D printing. Jon also really enjoys Tae Kwon Do, where he and his oldest daughter Kailey earned their black belts together early in 2014, Kim (his wife) earned her black belt in December 2014, and his youngest daughter Kara is currently working towards her black belt."
Price: 124.99 |
| "Automating Your Systems 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 products from Microsoft can be managed through PowerShell. From an administrative standpoint, this means that if you become proficient in PowerShell, you will have the skill set necessary to manage virtually all Microsoft products.As PowerShell continues to grow in popularity and becomes the primary management tool for system infrastructure, its crucial that you know how the foundational skills of working with PowerShell can be applied across the entire datacenter and the cloud. In this course, youll discover the core features of PowerShell and build consistent patterns to work with software and infrastructure through scripts and command-line administration.This course shows you how to get up and running with the latest version of PowerShell and how to take your career to the next level with PowerShell Core and Visual Studio Code.About the AuthorMichael Simmons is an IT Professional with over 20 years of experience managing and administering technology and helping the people that use it.He started using PowerShell and became involved in the community in 2007 and started iLovePowerShell .com in 2010 as a blog and resource for the community, where he discusses PowerShell and how to use it to improve your career.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."
Price: 124.99 |
| "Version Control with Git" |
| "Version control is a system that records changes to a file or set of files over time so that you can recall specific versions later.In this video, we will dive into version control using Git. After explaining the difference between centralized and distributed version control, we will show you how to configure your Git environment. Once we have configured the environment we will show you how to work with Git in your day to day activities.We will look at what it takes to administer your Git setupWe will end the course with setting up the workflows in Git. We will see Basic Workflow, Forking Workflow, Feature workflow, open source workflow and Gitflow Workflow.About the AuthorPaul Hacker, a Principal Consultant with AgileThought, has over 15 years of application architecture, design, development, and management expertise in Microsoft technologies. Paul has a depth of experience in ALM, Process Improvement, and Team Foundation Server. Having distinguished himself as a leader in the IT industry he has been awarded the distinction of Microsoft MVP in the ALM category every year since 2006"
Price: 124.99 |
| "Learn Algorithms and Data Structures in Java" |
| "Programs are created from algorithms and data structures. Mastering these is an essential part of your development as a Java programmer. They are the main building blocks for each architectural pattern. Many courses treat data structures and algorithms as a theoretical computer science topics. This course relates every technique back to real-world problems and situations you will face working as a programmer.You will start off with data structures before diving deeper into hash tables and hash functions. This will allow your programs to find the in-memory data they need, even with huge quantities of records stored in the memory. Youll learn to use querying binary search trees. The course will take you through heapsort, quicksort, recursion, and tail recursion algorithms. Youll get familiar with multithreading algorithms and probabilistic algorithms. Youll also understand the importance of advanced data structures and graph algorithms. This will help you to build priority queues and save your time by keeping disgruntled users at bay.User databases and minimal computing requirements are on the rise. It's important to write sophisticated applications and run them with improved performance, and this course helps you write these applications. It will help you to gain in-demand knowledge of key data structures and algorithms and prepare you for the next stage in your career as a developer.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 being 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 before 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 |
| "Tensorflow Solutions for Text" |
| "This volume introduces working with text, with a focus on the most plentiful source of text out there: email. Working with email text from your own Gmail account, you will build up a label predictor, similar in effect to the technology Google uses to power the Social and Promotions tabs. With this technique, you will be able to build your own email classification and automated workflow hooks.About the AuthorWill Ballard serves as Chief Technology Officer at GLG and is responsible for the Engineering and IT organizations.Prior to joining GLG, Will was the Executive Vice President of Technology and Engineering at Demand Media. Before that, he was Vice President and Chief Technology Officer at Pluck, through its acquisition by Demand Media. At both organizations Will managed large teams of engineers responsible for software architecture, design, development, and quality assurance. He was also responsible for the design and operation of large data centers that helped run site services for customers including Gannett, Hearst Magazines, NFL, NPR, The Washington Post, and Whole Foods. Will has also held leadership roles in software development at NetSolve (now Cisco), NetSpend, and Works(now Bank of America).Will graduated Magna Cum Laude with a BS in Mathematics from Claremont McKenna College."
Price: 124.99 |
| "Mastering TypeScript - Second Edition" |
| "Writing large applications in JavaScript is a challenge. TypeScript brings JavaScript down to earth by providing optional static typing and future JavaScript features today. TypeScript gives the developer instant feedback on the code they are writing in order to catch mistakes earlier in the development process. Since it is transpiled to JavaScript, developers can take advantage of future JavaScript language features today.This course will take you on a journey through interacting with the type system to working efficiently with more advanced features of the language. It will strengthen your knowledge of TypeScript and help you see the benefits it brings. We use an example-based approach that walks you through a restaurant ordering sample application. In addition, we go one step further by showing you how to automate custom checks on a code base and how to close statically typed gaps.About the AuthorDavid Sherret is a software developer in the healthcare industry. Within that, he leads several projects including one that supports the logistics behind specialty pharmaceuticals and maintains a patented technology for reducing health insurance fraud.You can find him answering questions on the TypeScript tag on Stack Overflow."
Price: 124.99 |
| "Artificial Intelligence with Python Heuristic Search" |
| "This course is a go-to guide for the four topics, logic programming, heuristic search, genetic algorithms and building games with AI. It will help you learn to programme with AI. The course will start with the basic puzzles, parsing trees and expression matching. This will be followed by building solutions for region coloring and maze solving. The course also has fun-filled videos on building bots to play Tic-tac-toe, Connect Four and Hexapawn.About The AuthorPrateek Joshi is an artificial intelligence researcher, published author of five books, and TEDx speaker. He is the founder of Pluto AI, a venture-funded Silicon Valley start-up that builds analytics platforms for smart water management powered by deep learning. His work in this field has led to patents, tech demos, and research papers at major IEEE conferences. He has been an invited speaker at technology and entrepreneurship conferences including TEDx, AT&T Foundry, Silicon Valley Deep Learning, and Open Silicon Valley. Prateek has also been featured as a guest author in prominent tech magazines.His tech blog has received more than 1.2-million page views from 200 over countries and has over 6,600+ followers. He frequently writes on topics such as artificial intelligence, Python programming, and abstract mathematics. He is an avid coder and has won many hackathons utilizing a wide variety of technologies. He graduated from University of Southern California with a masters degree specializing in artificial intelligence. He has worked at companies such as Nvidia and Microsoft Research."
Price: 124.99 |
| "Building Web Apps with Spring 5 and React" |
| "Spring5 and React allow us to build a powerful web application that grabs the attention of Java developers. This video will be your one-stop guide to building an end-to-end, modern web app with two popular frameworks: Spring for the backend and React for the frontend.In this course, Spring is used to create the backend; you will learn to configure the Spring MVC and handle web requests. You will learn to build REST API endpoints and work with Spring's Data Access Layer using Hibernate as the ORM. You will then be introduced to other Spring components such as Spring Security, which will help you secure your backend (you'll also learn to test it). You will then move on to the frontend, where you will be introduced to React and its app development environment and components.At the end of the video, you will design your UI and create a SPA with React. Then you'll integrate your React app with the Spring backend using JSON APIs or REST protocols. Finally, you will learn to test and secure your application.About the Author:Ankit Mishra is a Senior Software Engineer with extensive IT experience in mission-critical development projects and architecture designs. He has worked for giants such as Ericsson, Fidelity, and others.He has more than four years' experience in managing and delivering Spring MVC and Spring Security projects, Cloud deployment, and PaaS cloud administration. Currently, he is working on Spring microservices, Spring Security, cloud deployment, and tuning.Specialties: Red-Hat Certified engineerFunctional domains: Retail and Banking"
Price: 124.99 |
| "Advanced Deep Learning with Keras" |
| "Keras is an open source neural network library written in Python. It is capable of running on top of MXNet, Deeplearning4j, Tensorflow, CNTK, or Theano. Designed to enable fast experimentation with deep neural networks, it focuses on being minimal, modular, and extensible.This course provides a comprehensive introduction to deep learning. We start by presenting some famous success stories and a brief recap of the most common concepts found in machine learning. Then, we introduce neural networks and the optimization techniques to train them. Well show you how to get ready with Keras API to start training deep learning models, both on CPU and on GPU. Then, we present two types of neural architecture: convolutional and recurrent neural networksFirst, we present a well-known use case of deep learning: recommender systems, where we try to predict the ""rating"" or ""preference"" that a user would give to an item. Then, we introduce an interesting subject called style transfer. Deep learning has this ability to transform images based on a set of inputs, so well morph an image with a style image to combine them into a very realistic result. In the third section, we present techniques to train on very small datasets. This comprises transfer learning, data augmentation, and hyperparameter search, to avoid overfitting and to preserve the generalization property of the network.Finally, we complete this course by what Yann LeCun, Director at Facebook, considered as the biggest breakthrough in Machine Learning of the last decade: Generative Adversarial Networks. These networks are amazingly good at capturing the underlying distribution of a set of images to generate new images.About the AuthorPhilippe Remy is a research engineer and entrepreneur working on deep learning and living in Tokyo, Japan.As a research engineer, Philippe reads scientific papers and implements artificial intelligence algorithms related to handwriting character recognition, time series analysis, and natural language processing.As an entrepreneur, his vision is to bring a meaningful and transformative impact to society with the ultimate goal of enhancing overall quality of life and pushing the limits of what is considered possible today.Philippe contributes to different open source projects related to deep learning and fintech."
Price: 124.99 |
| "Building PHP RESTful Web Services" |
| "PHP 7 has modernized the way developers write code, simplifying various operations and adding support for several more.This course explains the basic concepts associated with the REST architectural style, but the emphasis is on creating PHP code for consuming and creating RESTful services in PHP. Filled with example PHP code to illustrate concepts, the course targets PHP developers who want to build or make use of RESTful web services, or explore the options available to them in PHP. Beginning with an introduction to the REST architecture, the course goes on to build a complete web service in vanilla PHP. It shows you how to develop APIs that can be consumed by other services.You will learn to test and secure your web services and use a framework such as Silex or Phalcon to simplify the development process. Youll finally understand how to add reactivity to your web services, gearing you up for the journey to a microservice-based application.About the AuthorHalil Burak Cetinkaya is a Software Engineer at Ericsson. He dedicates his time and effort to get better at everything. He is very passionate about everything associated with software development. He has developed many applications in his entire career. He is hardworking and always likes to learn and discover new things. He also likes to help other people."
Price: 124.99 |
| "Natural Language Processing with Python" |
| "NLP, or Natural Language Processing, is a computational approach to communication. This course will get you up-and-running with the popular NLP platform called Natural Language Toolkit (NLTK) in no time. You will start off by preparing text for Natural Language Processing by cleaning and simplifying it. Then you will implement more complex algorithms to break this text down and uncover contextual relationships that reveal the meaning and content of the text.You will learn how to tokenize various parts of sentences, and how to analyze them. You will learn about semantic as well as the syntactic analysis of text. During this course, you will learn how to solve various ambiguities in processing human language. You will also gain experience with NLP using Python and will be introduced to a variety of useful tools in NLTK. Plus, you will have an opportunity to build your first NLP application!By the end of this course, you will have the skills and tools to begin solving problems in the growing field of Latent Semantic AnalysisAbout the AuthorTyler Edwards is a senior engineer and software developer with over a decade of experience creating analysis tools in the space, defense, and nuclear industries. Tyler is experienced using a variety of programming languages (Python, C++, and more), and his research areas include machine learning, artificial intelligence, engineering analysis, and business analytics. Tyler holds a Master of Science degree in Mechanical Engineering from Ohio University. Looking forward, Tyler hopes to mentor students in applied mathematics, and demonstrate how data collection, analysis, and post-processing can be used to solve difficult problems and improve decision making."
Price: 124.99 |
| "Getting Started with QlikView" |
| "likView is one of the most flexible and powerful Business Intelligence platforms around. If you want to build data into your organization, build it around QlikView. Don't get caught in the gap between data and knowledgefind out how QlikView can help you unlock insights and data potential with ease.Whether you're new to QlikView or want to get up to speed with the features and functionality of QlikView, this course starts at a basic level and delves more deeply to demonstrate how to make QlikView work for you, and make it meet the needs of your organization. Using a real-world use case to highlight the extensive impact of effective business analytics, this course might well be your silver bullet for success.This is a superb hands-on guide to get you started by exploring the fundamentals of QlikView before learning how to successfully implement it, technically and strategically. You'll learn valuable tips, tricks, and insightful information on loading different types of data into QlikView, and how to model it effectively.You will also learn how to write useful scripts for QlikView to handle potentially complex data transformations in a way that is simple and elegant.About the Author"
Price: 124.99 |
| "Continuous Deployment of Cloud-Native Applications" |
| "Businesses today are evolving so rapidly that having their own infrastructure to support their expansion is not feasible. As a result, they have resorted to using the elasticity of the cloud to provide a platform to build and deploy their highly scalable applications. This video is your one-stop shop to learn all about deployment and monitoring of Cloud-native applications on various cloud platforms such as AWS, Azure, and Docker. Youll start by understanding the Docker concepts, then move on to deploying an application on Docker. Next, well build the application infrastructure on AWS. After that, well deploy and monitor an application on it. Finally, well architect the application infrastructure using Azure and look at deploying and monitoring an application on it.This video will teach you how to craft applications that are built as small standard units, using all the proven best practices and avoiding the usual traps. It's a practical video, where we create VMs, then deploy our applications on them. The video will take you on a journey, the destination of which is the creation of VMs and deployment over the cloud platforms.About the Author :Manish Sethi works as an engineer in Bangalore, India. Over the course of his career, he has worked for start-ups and Fortune 10 companies, helping organizations adopt a cloud-native approach to architecting massively scalable products.He regularly spends time learning and implementing new technology paradigms and actively finds himself solving practical problems using serverless architecture, machine and deep learning, and so on. He contributes to Bangalore DevOps and the Docker community by writing blog posts, giving talks in meetups, and more."
Price: 124.99 |
| "UI Development with Shiny" |
| "Although vanilla Shiny applications can look attractive with some layout flexibility, as youbecome more expert with Shiny you may want to have more control over howthe interface is laid out. You may also wish to produce a dashboard. You will start the section by producing an application based on thediamonds dataset included within the ggplot2 package. We will use thecore single application but the interface will be reskinned and rebuiltthroughout using different methods in order to illustrate their use and function. A further example will demonstrate the use of HTML templates. Next you will learn about producing dashboards in Shiny; here the core application will be reproduced as a dashboard. The UI will be rebuilt asa dashboard using the Shiny Dashboard package. Finally you will learn about laying out applications using the wide range of functions built-into Shiny.By the end of the course, you will have a wide understanding of the principles that underpin layout in Shiny applications right from bits ofHTML added to a vanilla Shiny application, to HTML interfaces written from scratch, to dashboards, navigation bars, and interfaces made from scratch.About the AuthorChris Beeley is the author of Web Application Development with R using Shiny, now in its secondedition. 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 usingthe web and Shiny to produce simple and attractive data summaries. Chris has delivered talks about Shiny all over the country."
Price: 124.99 |
| "Data-Driven Testing in Selenium" |
| "Selenium is one of the most popular engines for UI test automation. It is available for many different programming languages. At the same time, the data-driven approach is one of the most popular approaches for optimizing tests, making them compact, and easily extensible just by adding some new data. In this course, youll practice the data-driven approach using Selenium, Java, and TestNG/JUnit. Well start with basic samples and then go through the major steps to abstract application pages using a page object model. After that, well exercise different ways to make our tests data-driven. Well start with basic out of the box abilities and then practice more complicated samples to operate with external data from Excel, databases, Spring injection, and more. Well go through various improvements to make tests run in parallel. In particular, well explore different options to run data-driven tests in parallel.At the end, youll discover the good practices when testing framework designs. Youll also get a deep understanding of the data-driven approach and various ways to apply it to our tests.About The Author :Mykola Kolisnyk has been working in test automation since 2004. He has been involved with various activities including creating test automation solutions from scratch, leading test automation teams, and working as a consultant with test automation processes. During his working career, he has had experience with different test automation tools such as Mercury WinRunner, MicroFocus SilkTest, SmartBear TestComplete, Selenium-RC, WebDriver, Appium, SoapUI, BDD frameworks, and many other different engines and solutions. He has also had experience with multiple programming technologies based on Java, C#, Ruby, and so on, and with different domain areas such as healthcare, mobile, telecoms, social networking, business process modeling, performance and talent management, multimedia, e-commerce, and investment banking."
Price: 124.99 |
| "ECMAScript 2016 and Beyond" |
| "ECMAScript (or ES) is created to standardize JavaScript, so as to foster multiple independent implementations. This course will benefit developers familiar with language developments in JavaScript. In this course, we take a look at what the ECMAScript 2016 and ECMAScript 2017 versions bring to the table. Also, this course focuses on how to use the new language development and new features today in your projects. This course begins by explaining the features of ECMAScript 2016 and 2017. Later it delves into the usage of ES6 in today's world. You will also learn how to work with Babel and Traceur, and how they can be put to best use. By the end of this course, you will be completely exposed to ECMAScript and will be able to use it in the most efficient way.About the AuthorLohith G. N. who hails from Mysore, India and currently resides in Bangalore, India has over 12years' software development experience. Currently, he works as developerevangelist for Telerik in India and takes care of evangelism for theSouth Indian region. Lohith comes from a production engineering background and ended up in software development thanks to the FORTRAN language, which he learnt during his graduation days. Well versed with the .NET platform, Lohith has experience in building web applications, Windows applications, and service-oriented architectures. Lohith has spent close to a decade mostly in the service-based industry and is wellversed with the agile method of software development.Lohith was twice awarded, in 2011 and 2012, Microsoft Most Valuable Professional (MVP) in the area of ASP.NET/ IIS.He can be reached on Twitter and his Twitter handle is @ kashyapa. Lohith is also one of the user group leads for the Bangalore DotNet user group, one of the most active user groups in India. He is a regularspeaker at his local user groups"
Price: 124.99 |
| "Learning Path: Python:Data Visualization with Matplotlib 2.x" |
| "Are you looking forward to learn powerful data visualization techniques to make your data more presentable and informative? If yes, then this Learning Path is for you. Packts Video Learning Paths are a series of individual video products put together in a logical and stepwise manner such that each video builds on the skills learned in the video before it. Matplotlib is a multi-platform data visualization tool built upon the NumPy and SciPy frameworks. One of the most important features of Matplotlib is its ability to work well with many operating systems and graphics backends. Big data analytics are driving innovations in scientific research, digital marketing, policy-making, and much more. Matplotlib offers simple but powerful plotting interface, versatile plot types and robust customization. Matplotlib supports dozens of backends and output types, which means you can count on it to work regardless of which operating system you are using or which output format you wish. The highlights of this Learning Path are: Construct different types of plot such as lines and scatters, bar plots, and histograms Customize and represent data in 3D Create data visualizations on 2D and 3D charts in the form of bar charts, bubble charts, heat maps, histograms, scatter plots, stacked area charts, swarm plots, and much more Leverage the various aspects of data visualization and plots In this Learning Path, youll hit the ground running and quickly learn how to make beautiful, illuminating figures with Matplotlib and a handful of other Python tools. Youll understand data dimensionality and set up an environment by beginning with basic plots. Youll enter into the exciting world of data visualization and plotting. You'll work with line and scatter plots and construct bar plots and histograms. You'll also explore images and contours in depth. Plot scaffolding is a very interesting topic wherein you'll be taken through axes and figures to help you design excellent plots. You'll learn how to control axes and ticks, and change fonts and colors. You'll work on backend and transformations. Youll then explore the most important companions for Matplotlib, Pandas and Jupyter, used widely for data manipulation, analysis, and visualization. Youll acquire the basic knowledge on how to create and customize plots by Matplotlib. Further, youll learn how to plot different types of economic data in the form of 2D and 3D graphs, which give insights from a deluge of data from public repositories, such as Quandl Finance. Youll learn to visualize geographical data on maps and implement interactive charts. Youll learn to create intuitive infographics. Youll explore 3D plotting, one of the best features when it comes to 3D data visualization, along with Jupyter Notebook, widgets, and creating movies for enhanced data representation. Geospatial plotting will be also be explored. Finally, you'll learn how to create interactive plots with the help of Jupyter. By the end of this Learning Path, you'll be well versed with Matplotlib and construct advanced plots with additional customization techniques to perform advanced data visualization using the Matplotlib library. Meet Your Experts: We have combined the best works of the following esteemed authors to ensure that your learning journey is smooth: Benjamin Keller is a postdoctoral researcher in the MUSTANG group at Universitt Heidelberg's Astronomisches Rechen-Institut. He obtained his PhD at McMaster University and got his BSc in Physics with a minor in Computer Science from the University of Calgary in 2011. His current research involves numerical modeling of the interstellar medium over cosmological timescales. As an undergraduate at the U of C, he worked with Dr. Jeroen Stil on stacking radio polarization to examine faint extragalactic sources. He also worked in the POSSUM Working Group 2 to determine the requirements for stacking applications for the Australian SKA Pathfinder (ASKAP) radio telescope. At McMaster, he worked with Dr. James Wadsley in the Physics & Astronomy department. His current research was focused around understanding how the energy released from supernovae explosions regulated the flow of gas through galaxies, and how that gas is converted into stars. Aldrin Kay Yuen Yim is a PhD student in computational and system biology at Washington University School of Medicine. Before joining the university, his research primarily focused on big data analytics and bioinformatics, which led to multiple discoveries, including a novel major allergen class (designated as a Group 24th Major allergen by WHO/IUIS Allergen Nomenclature subcommittee) through a multi-omic approach analysis of dust mites (JACI 2015), as well as the identification of the salt-tolerance gene in soybeans through large-scale genomic analysis (Nat. Comm. 2014). He also loves to explore sci-fi ideas and put them into practice, such as the development of a DNA-based information storage system (iGEM 2010, Frontiers in Bioengineering and Biotechnology 2014). Aldrin's current research interest focuses on neuro-development and diseases, such as exploring the heterogeneity of cell types within the nervous system, as well as gender dimorphism in brain cancers (JCI Insight 2017). Aldrin is also the founding CEO of Codex Genetics Limited, which is currently servicing two research hospitals and the cancer registry of Hong Kong. Allen Chi Shing Yu, PhD, is a Chevening Scholar, 2017-18, and an MSc student in computer science at the University of Oxford. He holds a PhD degree in Biochemistry from the Chinese University of Hong Kong, and he has used Python and Matplotlib extensively during his 10 years' experience in the field of bioinformatics and big data analysis. During his research career, Allen has published 12 international scientific research articles and presented at four international conferences, including on-stage presentations at the Congress On the Future of Engineering Software (COFES) 2011, USA, and Genome Informatics 2014, UK. Other research highlights include discovering the novel subtype of Spinocerebellar ataxia (SCA40), identifying the cause of pathogenesis for a family with Spastic paraparesis, leading the gold medalist team in 2011 International Genetically Engineered Machine (iGEM) competition, and co-developing a number of cancer genomics project. Apart from academic research, Allen is also the co-founder of Codex Genetics Limited, which aims to provide personalized medicine services in Asia through the use of the latest genomics technology. With financial and business support from the HKSAR Innovation and Technology Commission, Hong Kong Science Park, and the Chinese University of Hong Kong, Codex Genetics has curated and transformed recent advances in cancer and neuro-genomics research into clinically actionable insights. Claire Yik Lok Chung is now a PhD student at the Chinese University of Hong Kong working on Bioinformatics, after receiving her BSc degree in Cell and Molecular Biology. With her passion for scientific research, she joined three labs during her college study, including the synthetic biology lab at the University of Edinburgh. Her current projects include soybean genomic analysis using optical mapping and the next-generation sequencing of data. Claire started programming 10 years ago, and uses Python and Matplotlib daily to tackle Bioinformatics problems and to bring convenience to life. Being interested in information technology in general, she leads the Campus Network Support Team in college and is constantly keeping up with the latest technological trends by participating in PyCon HK 2016. She is motivated to acquire new skills through self-learning and is keen to share her knowledge and experience. In addition to science, she has developed skills in multilingual translation and graphic design, and found these transferable skills useful at work."
Price: 199.99 |
| "Kotlin in Practice" |
| "Kotlin is a programming language intended to be better than Java, and it's designed to be usable on any platform that is compatible with Java. Kotlin is great for building amazing Android applications in an easy and effective way. During this course, you will build an Android app from scratch. Through this process, well explain the intermediate and advanced features of the Kotlin language. By the end of the course, youll be proficient in building effective Android applications using Kotlin.About the AuthorMarko Devcic is a Software Engineer currently working as an Android Developer for Austrian company mySugr in Vienna. He has a Master's degree in Engineering from University of Zagreb in Croatia. Over the years, he has worked with various technologies and languages, mostly C# and Java.He is passionate about technology and software development. He loves reading about programming languages and writing simple and clean code.In his spare time, he writes code for his personal projects, and contributes to open source projects. You can follow him on Github (username deva666). He also likes to write about Kotlin, C#, and programming in general on his web page ."
Price: 124.99 |
| "Learning Path: Java: Natural Language Processing with Java" |
| "Natural Language Processing is used in many applications to provide capabilities that were previously not possible. It involves analyzing text to obtain the intent and meaning, which can then be used to support an application. Using NLP within an application requires a combination of standard Java techniques and often specialized libraries frequently based on models that have been trained. If you're interested to learn the powerful Natural Language Processing techniques with Java, then go for this Learning Path.Packts Video Learning Paths are a series of individual video products put together in a logical and stepwise manner such that each video builds on the skills learned in the video before it. The highlights of this Learning Path are: Perform tokenization based on specific text processing needs Extract the relationship between elements of text This Learning Path covers the essence of NLP using Java. This Learning Path will commence by walking you through basic NLP tasks including data acquisition, data cleaning, finding parts of text, and determining the end of sentences. These serve as the basis for other NLP tasks such as classifying text and determining the relationship between text elements. This will be followed by the use of tokenization techniques. Tokenization is used for almost all NLP tasks. Youll learn how text can be split to reveal information such as names, dates, and even the grammatical structure of a sentence. These types of activity can lead to insights into the relationships between text elements and embedded meaning in a document. You'll then start by building on the basic NLP tasks of data normalization, tokenization, and SBD to perform more specialized NLP tasks. Youll be able to do more than simply find a word in the text. You'll also identify specific elements such as a persons name or a location from the text. Finally, you'll learn to split a sentence into basic grammatical units is another task that enables you to extract meaning and relationships from text. Towards the end of this Learning Path, you will be ready to take on more advanced NLP tasks with Natural Language Processing techniques using Java. Meet Your Experts: We have combined the best works of the following esteemed authors to ensure that your learning journey is smooth: Kamesh Balasubramanian is the founder and CEO of Wirecog, LLC. He is the inventor of Wireframe Cognition (Wirecog), an award-winning, patented technology that allows machines to understand wireframe designs and produce source code from them. Kamesh has over 20 years' software development experience and has implemented numerous solutions in the advertising, entertainment, media, publishing, hospitality, videogame, legal, and government sectors. He is an award-winning, professional member of the Association for Computing Machinery and an InfyMaker Award winner. He was recognized as a Maker of Change at the 2016 World Maker Faire in New York and, upon request, has demonstrated Wirecog at MIT. Ben Tranter is a developer with nearly six years experience. He has worked with a variety of companies to build applications in Go, in the areas of data mining, web back ends, user authentication services, and developer tools, and is a contributor to a variety of open source Go projects. Rostislav Dzinko is a software architect who has been working in the software development industry for more than six years. He was one of the first developers who started working with the Go language far earlier than the first official public release of Go 1.0 took place. Rostislav uses the Go language daily and has successfully used it in production for more than two years, building a broad range of software from high-load web applications to command-line utilities. He has a Masters degree in Systems Engineering and has completed a PhD thesis."
Price: 199.99 |
| "LEARNING PATH: TensorFlow: RealWorld Solutions to TensorFlow" |
| "TensorFlow is one of the newest and most comprehensive libraries for implementing deep learning. With deep learning going mainstream, making sense of data and getting accurate results using deep networks is possible. TensorFlow is an open source software library for numerical computation using data flow graphs. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. Deep learning is the intersection of statistics, artificial intelligence, and data to build accurate models.. If you're interested to hone your skills in building deployable solutions with Googles TensorFlow library , then go for this Learning Path.Packts Video Learning Paths are a series of individual video products put together in a logical and stepwise manner such that each video builds on the skills learned in the video before it. The highlights of this Learning Path are: Deep dive into training, validation, and monitoring training performance Build simple TensorFlow graphs for everyday computations Design and train a multilayer neural network with TensorFlow This Learning Path addresses common commercial machine learning problems using Googles TensorFlow library. It will not only help you discover what TensorFlow is and how to use it, but also show you the unbelievable things that can be done in machine learning with the help of real-world examples and use cases. Youll start off with the basic installation of TensorFlow, moving on to covering the unique features of the library such as data flow graphs, training, and visualization of performance with TensorBoardall within an example-rich context using problems from multiple sources. The focus is on introducing new concepts through problems that are coded and solved over the course of each section. Further, youll dive deeper into the hidden layers of abstraction using raw data. This Learning Path will teach you various complex algorithms for deep learning and various examples that use these deep neural networks. Youll also learn how to train your machine to craft new features to make sense of deeper layers of data. Youll come across topics such as logistic regression, convolutional neural networks, recurrent neural networks, training deep networks, high level interfaces, and more. With the help of novel practical examples, youll become an ace at advanced multilayer networks, image recognition, and beyond. Towards the end of this Learning Path, youll be able to process data and gain insights that will change the way you look at it, with the efficiency and simplicity of TensorFlow Meet Your Experts: We have combined the best works of the following esteemed authors to ensure that your learning journey is smooth: Shams Ul Azeem is an undergraduate in electrical engineering from NUST Islamabad, Pakistan. He has a great interest in the computer science field, and he started his journey with Android development. Now, hes pursuing his career in machine learning, particularly in deep learning, by doing medical-related freelancing projects with different companies. He was also a member of the RISE lab, NUST, and he has a publication credit at the IEEE International Conference, ROBIO as a co-author of designing of motions for humanoid goalkeeper robots. Dan Van Boxel is a data scientist and machine learning engineer with over 10 years of experience. He is most well-known for Dan Does Data, a YouTube livestream demonstrating the power and pitfalls of neural networks. He has developed and applied novel statistical models of machine learning to topics such as accounting for truck traffic on highways, travel time outlier detection, and other areas. Dan has also published research articles and presented findings at the transportation research board and other academic journals."
Price: 199.99 |
| "Learning Path: Practical DevOps with Ansible and Docker" |
| "Are you looking forward to gaining practical knowledge on powerful technologies such as Ansible and Docker? If yes, then go for this Learning Path.Packts Video Learning Paths are a series of individual video products put together in a logical and stepwise manner such that each video builds on the skills learned in the video before it. DevOps is the most widely used software engineering culture and practice that aims at software development and operation. Ansible is one of the most popular tools in the open source orchestration and automation space. Docker is a tool that is designed to benefit both developers and system administrators. Ansible is the way to automate Docker in your environment. Ansible enables you to operationalize your Docker container build and deployment process in ways that youre likely doing manually today, or not doing at all. The highlights of this Learning Path are: Get acquainted with using Ansible 2 features such playbooks, modules and various testing strategies Learn to build and manage clusters using Swarm, Mesos, and Kubernetes Customize and secure your Docker according to your business requirements Lets take a look at your journey. You will begin with Ansible 2.0, including its installation, the problems it solves, and more. You will also walk through creating your very first playbook. You will understand the power of variables and quickly be able to manage environments and implement strategies. You will find out how to integrate with different cloud platforms and be introduced to Ansible Galaxy and Tower, which are Ansible's enterprise tooling for supporting large-scale infrastructure. Next, you will learn what Docker is and explore Compose by writing a docker-compose. yml file for a social network app, and look at top-down approaches to building network topologies for your social networks containers. You will then be familiarized with the Swarm workflow, Kubernetes, and Googles tool for setting up a managed cluster. Finally, you will learn how to set up Dockers plugin infrastructure and use the customization options. By the end of this Learning Path, you will have strong knowledge on the powerful techniques of Ansible and Docker. Meet your authors: David Cohen has been a system administrator, platform engineer, DevOps engineer, and software developer in everything from small businesses to growing companies (100+ employees) and large tech/engineering firms (10,000+ employees). Most of his work has centered around Linux and Unix system administration, web security, and software development in Python, Ruby, Javascript, and Go. He has also done stranger things such as helping to design two Tier-4 datacenters and being an Infantryman (not at the same time). On his tutorialinux YouTube channel, he has helped tens of thousands of people learn the basics (and not-so-basics) of system administration, DevOps, and software engineering Shrikrishna Holla is a full-stack developer and entrepreneur based in Bengaluru. He builds and maintains sigalrm .io, a service that provides provides actionable alerts, allowing engineers to take immediate remedial measures."
Price: 199.99 |
| "LEARNING PATH: Python: Real-World Data Science with Python" |
| "In todays world, everyone wants to gain insights from the deluge of data coming their way. Data mining provides a way of finding these insights, and Python is one of the most popular languages for data mining, providing both power and flexibility in analysis. Python has become the language of choice for data scientists for data analysis, visualization, and machine learning. Machine learning gives you unimaginably powerful insights into data. Deep learning is the next step to machine learning with a more advanced implementation. Deep learning is currently one of the best providers of solutions regarding problems in image recognition, speech recognition, object recognition, and natural language with its increasing number of libraries that are available in Python. With deep learning being used by many data scientists, deeper neural networks are evaluated for accurate results. If you're interested to dive into the future of data science and implement intelligent systems using deep and machine learning with Python, then go for this Learning Path. Packts Video Learning Paths are a series of individual video products put together in a logical and stepwise manner such that each video builds on the skills learned in the video before it. The highlights of this Learning Path are: Know how to use Python libraries and mathematical toolkits such as numpy, pandas, matplotlib, and sci-kit learnSuccessfully evaluate and apply the most effective models to problemsDiscover the methods of image classification and harness object recognition using deep learningGet to know recurrent neural networks for the textual sentimental analysis modelLets take a quick look at your learning journey. In this Learning Path, youll discover the key concepts of data mining and learn how to apply different data mining techniques to find the valuable insights hidden in real-world data. Youll also tackle some notorious data mining problems to get a concrete understanding of these techniques. Youll be introduced you to the important data mining concepts and the Python libraries used for data mining. Youll understand the process of cleaning data and the steps involved in filtering out noise and ensuring that the data available can be used for accurate analysis. Youll also build your first intelligent application that makes predictions from data. This Learning Path is also a unique blend of projects that teach you what Machine Learning is all about and how you can implement machine learning concepts in practice. Six different independent projects will help you master machine learning in Python. Further, this Learning Path will take you from basic calculus knowledge to understanding backpropagation and its application for training in neural networks for deep learning and understand automatic differentiation. Youll get a thorough training in convolutional, recurrent neural networks and build up the theory that focuses on supervised learning and integrate into your product offerings such as search, image recognition, and object processing. Also, we will examine the performance of the sentimental analysis model and will conclude with the introduction of TensorFlow. By the end of this Learning Path, youll be able to implement intelligent data mining systems using deep and machine learning with Python. Meet Your Experts: We have combined the best works of the following esteemed authors to ensure that your learning journey is smooth: SaimadhuPolamuriis a data science educator and the founder of Data Aspirant, a Data Science portal for beginners. He has 3 years of experience in data mining and 5 years of experience in Python. He is also interested in big data technologies such as Hadoop, Pig, and Spark. He has a good command of the R programming language and Matlab. He has a rudimentary understanding of Cpp Computer vision library (OpenCV) and big data technologies.Alexander T. Combs is an experienced data scientist, strategist, and developer with a background in financial data extraction, natural language processing and generation, and quantitative and statistical modeling. He is currently a full-time lead instructor for a data science immersive program in New York City.Eder Santana is a PhD candidate on electrical and computer engineering. His thesis topic is on deep and recurrent neural networks. After working for 3 years with kernel machines (SVMs, information theoretic Learning, and so on), Eder moved to the field of deep learning 2.5 years ago, when he started learning Theano, Caffe, and other machine learning frameworks. Now, Eder contributes to Keras: Deep Learning Library for Python. Besides deep learning, he also likes data visualization and teaching machine learning, either on online forums or as a teacher assistant."
Price: 199.99 |
