| "Essentials of Bitcoin and Blockchain" |
| "Blockchain is a distributed database that enables permanent, transparent, and secure storage of data. Blockhchain technology uses cryptography to keep data secure. The blockchain technology is the backbone of cryptocurrencyIt would take you on a journey of the blockchain database, followed by advanced implementations of blockchain concept.This video course is aimed at anyone who is in interested in learning about bitcoin basics, the technical operation of bitcoin.This video would give you a full insight of this leading technology and its implementation in the real world. We would begin with the technical foundations of the blockchain, teaching you the fundamentals of cryptography and how it keeps data secure. Along the way, you would also learn about the mechanisms behind cryptocurrencies. In this video you will learn everything you need to know about decentralized digital money,About the AuthorKiranKalyan is Determinant, motivator, detail oriented, highly influential when it comes to driving teams towards specific goals, critical decision making based on not just facts but with System Thinking. Technology and People enthusiast having 17+ years of experience in various technologies. Technology, delivery, results and people oriented leader with proven best of both the worlds success in Services Products Captives, OnsiteOffshore and technologyfunctional roles. Hands on experience in delivery with cross-cultural experience, multi location teams across the globe. Consistent in having successfully built, transitioned and led teams from scratch to operational in products, services and captive models. Currently heading multiple highly skilled teams across multiple technologies in most critical LOBs with a giant retail chain. Working directly with SVPs and comfortable to communicate across all levels of the organization. Have been a part of Sr. Leadership working towards organization transformation to optimize cost and productivity. Researching Blockchain and its underlying architecture with Hyperledger and Ethereum variants. Has been hands on in managing larger programs. Running small to mid-size P&L; range of $10MN to $20MN annually over the last few years. Seasoned in handling larger teams managed deliveries with teams of around 125 professionals across global locations with experience level from entry level developers to project managers and architects. Playing pivotal role to transform the entire offshore team from typical development approach to Product and Micro-Service based solutions. Owning to establish standardized approach with Micro-services (Spring Boot) and Dev Ops (Docker/Vagrant, Swarm/Kubernetes, Prometheus etc.) Niche in managing customer and Stakeholder expectations, own multi location delivery teams and track record of successful deliveries. More than 9 years into hands on Program, Delivery, Account Mgmt"
Price: 124.99 |
| "Mastering TypeScript Programming Techniques" |
| "Taking your TypeScript development to the next level has never been easier. Filled with expert techniques, this course will help make your typescript programming better, easier, and more effective while working with scalable applications.TypeScript gets you writing scalable JavaScript applications with classical object-oriented principles in no time. Youll use the latest ES6+/ES2015 features along with TypeScripts syntax, which is familiar to developers coming from a Java, C++ styled language while using existing JavaScript code.The course starts off by setting up the popular Visual Studio Code IDE and gets you acquainted with linting and test coverage. Moving on, youll understand the concepts of task automation, Object-Oriented programming (OOP), Promises, and Functional Programming. Youll learn to use Underscore.js in your application and find out about array and object manipulation.In no time, youll be able to implement popular GoF patterns, which will be explained through real-world examples. Youll be taught how to use Typescript on the server side with Node.js, and on the front end with Angular 5. Youll also learn to create a project, component, and service using Vue.js and Aurelia. The course ends with a walkthrough of data typings for a library and how to use typings via an IDE. So why wait? Take your typescript development to the next level by taking this course.About the AuthorTamas Piros is a full-stack web developer turned technical instructor with more than a decade of experience working with large, prestigious multinational organizations such as Verizon, Panasonic, BBC, Accenture and Deutsche Bank just to mention a few.On top of the training sessions, Tamas also regularly conducts workshops and presentations all over the world. He has spoken at prestigious conferences that include HTML5 DevConf in San Francisco, JSConf Asia in Singapore among various others."
Price: 124.99 |
| "TensorFlow 1.X Recipe for Supervised & Unsupervised Learning" |
| "Deep Learning models often perform significantly better than traditional machine learning algorithms in many tasks. This course consists of hands-on recipes to use deep learning in the context of supervised and unsupervised learning tasks.After covering the basics of working with TensorFlow, it shows you how to perform the traditional machine learning tasks in supervised learning: regression and classification. This course also covers how to perform unsupervised learning using cutting-edge techniques from Deep Learning.To address many different use cases, this product presents recipes for both the low-level API (TensorFlow core) as well as the high-level APIs (tf.contrib.lean and Keras).All the code and supporting files for this course are available.About the AuthorAlvaro Fuentes is a Data Scientist with an M.S. in Quantitative Economics and a M.S. in Applied Mathematics with more than 10 years of experience in analytical roles. He worked in the Central Bank of Guatemala as an Economic Analyst, building models for economic and financial data. He founded Quant Company to provide consulting and training services in Data Science topics and has been a consultant for many projects in fields such as; Business, Education, Psychology and Mass Media. He also has taught many (online and in-site) courses to students from around the world in topics like Data Science, Mathematics, Statistics, R programming and Python.Alvaro Fuentes is a big Python fan and has been working with Python for about 4 years and uses it routinely for analyzing data and producing predictions. He also has used it in a couple of software projects. He is also a big R fan, and doesn't like the controversy between what is the best R or Python, he uses them both. He is also very interested in the Spark approach to Big Data, and likes the way it simplifies complicatedthings. He is not a software engineer or a developer but is generally interested in web technologies.He also has technical skills in R programming, Spark, SQL (PostgreSQL), MS Excel, machine learning, statistical analysis, econometrics, mathematical modeling.Predictive Analytics is a topic in which he has both professional and teaching experience. Having solved practical problems in his consulting practice using the Python tools for predictive analytics and the topics of predictive analytics are part of a more general course on Data Science with Python that he teaches online."
Price: 124.99 |
| "Learning Java 9 - Functional Programming" |
| "Functional programming is a programming paradigm, and it's all about programming with functions! But this doesn't explain the most important aspect: how FP is different from other paradigms, and what makes it a (potentially) better way to write programs. The paradigm makes programs easier to reason with because they're deterministic, since one specific input will always give you the same output.To kick-start this learning experience, we explain the use of generic data structures in Java, along with a number of practical examples, such as implementing a Pair class, and using a generic comparator function to sort a list of generic objects with an explanation of the need for generics, followed by practical use cases. Moving on from generics to functional programming, we explain the use of generic functions in Java, along with some common usage patterns. To conclude, we discuss what functional programming is, and the benefits we can get from using it, before moving on to a couple real-life examples. We start with a simple list of data points, before using a traditional for loop to first filter, sort, manipulate, and then finally reduce the list of data points. We will then write a similar example using functional programming, providing a perfect example of some of the benefits it provides when working with data sets.This course will teach you one of the most powerful elements of the Java programming language, to help you start writing programs by coding the base functions needed and combining these functions into higher-level ones, repeating the process until you have a ""single function"" corresponding to the program you're building. Given their transparency, they can be reused to build other programs without any modifications, which saves time and allows you to focus on the further development of your project. From learning how to write more readable functional code, to processing discrete data sets using the stream interface and then writing your own Lambdas, this course has it all!All the code and supporting files for this course are available on Github.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 |
| "Create Your Own Sophisticated Model with Neural Networks" |
| "Scikit-learn has evolved as a robust library for Machine Learning applications in Python with support for a wide range of Supervised and Unsupervised Learning Algorithms.With this course you will learn the Decision Tree algorithms and Ensemble Models to build Random Forest, Regression Analysis. You will focus on Decision Trees and Ensemble Algorithms. Moving forward, you learn to use scikit-learn to classify text and Multiclass with scikit-learn. You will explore various algorithms for classification. You will also look at Naive Bayes model and Label Propagation. Finally, you'll use Neural Networks using different Classifiers and create your own Simple Estimator.About the AuthorJulian Avila is a programmer and data scientist in finance and computer vision. He graduated from the Massachusetts Institute of Technology (MIT) in mathematics, where he researched quantum mechanical computation, a field involving physics, math, and computer science. While at MIT, Julian first picked up classical and flamenco guitars, Machine Learning, and artificial intelligence through discussions with friends in the CSAIL lab.He started programming in middle school, including games and geometrically artistic animations. He competed successfully in math and programming and worked for several groups at MIT. Julian has written complete software projects in elegant Python with just-in-time compilation. Some memorable projects of his include a large-scale facial recognition system for videos with neural networks on GPUs, recognizing parts of neurons within pictures, and stock-market trading programs."
Price: 124.99 |
| "Building Android RESTful Client Apps" |
| "Many successful apps such as Spotify, Google, and PayPal consume data from the internet and upload content. These apps mostly use RESTful APIs to communicate with a server through the HTTP protocol.In this course, youll learn to create a Tinder-like client application in Android using Java libraries such as Retrofit and Gson to make sure your code is clean and testable. Moving on, youll learn to read and create JSON and use libraries to make your life easy. Then well show you how to deal with the common errors that occur with REST APIs and how to use interceptors to intercept a request and log data and errors.Finally, youll see the MVP architecture and implement its main features to create clean and testable code. By the end of this course, youll be able to build efficient Android applications that use RESTful services.About the AuthorRenaro Santos is an experienced Android developer and has been working with mobile development for more than five years. He has worked at universities, start-ups, and big companies, building Android Applications and Machine Learning algorithms. His main focus is Mobile Development and Machine Learning. He likes to read and write about clean code and Android development, and he also love to travel."
Price: 124.99 |
| "Machine Learning with scikit-learn and Tensorflow" |
| "Machine Learning is one of the most transformative and impactful technologies of our time. From advertising to healthcare, to self-driving cars, it is hard to find an industry that has not been or is not being revolutionized by machine learning. Using the two most popular frameworks, Tensor Flow and Scikit-Learn, this course will show you insightful tools and techniques for building intelligent systems. Using Scikit-learn you will create a Machine Learning project from scratch, and, use the Tensor Flow library to build and train professional neural networks.We will use these frameworks to build a variety of applications for problems such as ad ranking and sentiment classification. The course will then take you through the methods for unsupervised learning and what to do when you have limited or no labels for your data. We use the techniques we have learned, along with some new ones, to build a sentiment classifier, an autocomplete keyboard and a topic discoverer.The course will also cover applications for Natural Language Processing, explaining the types of language processing. We will cover TensorFlow, the most popular deep learning framework, and use it to build convolutional neural networks for object recognition and segmentation. We will then discuss recurrent neural networks and build applications for sentiment classification and stock prediction. We will then show you how to process sequences of data with recurrent neural networks with applications in sentiment classification and stock price prediction. Finally, you will learn applications with deep unsupervised learning and generative models. By the end of the course, you will have mastered Machine Learning in your everyday tasksAll the code and supporting files for this course are available on Github.About the AuthorNick Locascio is a deep learning consultant, writer, researcher, and entrepreneur. Nick attended MIT, where he obtained his B.S. and MEng conducting research in NLP and Computer Vision. He has worked on projects ranging from training neural networks that generate code, to collaborating with the MGH Radiology department to apply deep learning to assist in clinical screening mammography. Nick's work has been featured on MIT News and CNBC. Nick does private deep learning consulting for Fortune-500 enterprise companies. He also co-founded the landmark MIT course 6.S191, Intro to Deep Learning, which he taught to an audience of 300 students, post-docs, and professors. Nicks writing experience includes credits as a contributing author to Fundamentals of Deep Learning."
Price: 124.99 |
| "Fundamentals of Machine Learning with scikit-learn" |
| "As the amount of data continues to grow at an almost incomprehensible rate, being able to understand and process data is becoming a key differentiator for competitive organizations. Machine Learning applications are everywhere, from self-driving cars, spam detection, document searches, and trading strategies, to speech recognition. This makes machine learning well-suited to the present-day era of big data and data science. The main challenge is how to transform data into actionable knowledge.In this course you will learn all the important Machine Learning algorithms that are commonly used in the field of data science. These algorithms can be used for supervised as well as unsupervised learning, reinforcement learning, and semi-supervised learning. A few famous algorithms that are covered in this book are: Linear regression, Logistic Regression, SVM, Naive Bayes, K-Means, Random Forest, and Feature engineering. In this course, you will also learn how these algorithms work and their practical implementation to resolve your problems.About the AuthorGiuseppe Bonaccorso is a Machine Learning and big data consultant with more than 12 years' experience. He has an M.Eng. in electronics engineering from the University of Catania, Italy, and further postgraduate specialization from the University of Rome, Tor Vergata, Italy, and the University of Essex, UK.During his career, he has covered different IT roles in several business contexts, including public administration, military, utilities, healthcare, diagnostics, and advertising. He has developed and managed projects using many technologies, including Java, Python, Hadoop, Spark, Theano, and TensorFlow. His main interests are in artificial intelligence, machine learning, data science, and the philosophy of the mind."
Price: 124.99 |
| "Building a Reddit Clone with Twitter Bootstrap" |
| "In this video course, youll be introduced to the language itself by building a simple Reddit clone. Youll learn to use Bootstrap to design your applications layout, but focus more on JavaScript. At the start, youll build up Reddit JavaScript based on an example.Moving on, we show you how to use JavaScript by building a simple Reddit clone. Throughout the course, youll fetch the Reddit APIs via AJAX calls and show them in the UI using Twitter projects. This video course uses plain JavaScript without using any framework or library.Toward the end of the video course, youll be introduced to Twitter Bootstrap, AJAX calls, MVC Architecture, and the Grid system. Youll find out how to design the look and feel of the application. Finally, well dive into building a Reddit home page.The code bundle for this video course is availableAbout the AuthorAnto Aravinth is a software engineer with a good knowledge in the development of web applications, primarily in JavaScript and Java/Grails. He is passionate about groovy, Java, Js, and React. He loves to work at start-ups. He can speak in terms of functional concepts such as closure, currying, and Monads. He is mostly into web development using Java and front-end technologies. He is an open source contributor to ReactJs, Groovy, and Selenium. He has authored Beginning Functional Programming in JavaScript. He was a technical reviewer for React Quickly."
Price: 124.99 |
| "Fundamentals of Malware Analysis" |
| "In this video course, we start with the basic concepts of malware and youll get familiar with the different types of malware and the malware analysis process. Before moving on with the techniques of malware analysis, youll see how to set up your own lab to make a secure environment for malware analysis.Moving on, youll get familiar with the basic techniques of static and dynamic malware analysis and gets your hands dirty with debuggers and disassemblers such as OllyDbg and IDA PRO. Youll learn how to analyze malware and understand its anatomy using these tools and techniques. Finally, youll be exposed to the techniques that malware may use to evade detection and remain undetected.By the end of the course, youll have a solid knowledge that will enable you to analyze the majority of malware programs.About the AuthorMunir Njenga is a self-driven, multi-talented, technology enthusiast, Cyber Security Consultant, and researcher. He mainly focuses on malware analysis, and web- and mobile-based applications testing and methodologies.His skills and competencies stem from his active involvement in engagements that deliver advisory services such as network security reviews, security course development, training and capacity building, mobile and internet banking security reviews (BSS, MSC, HLR/AUC, IN, NGN, GGSN/SGSN), web applications, and network attack and penetration testing.Apart from his security hat, he is a poet, graphic designer, blogger, tools/ application tester, social media marketer, web 2.0 developer and designer, naturalist, and traveler."
Price: 124.99 |
| "Go Production Deployments" |
| "Go is one of the most powerful, efficient, and highly performant programming languages. This video course teaches you how to deploy a full-stack Go application to a cloud-based production environment.We start off by showing you how to provision a virtual server instance on the Linode cloud, install MySQL and Nginx, and obtain and install a free SSL certificate from Let's Encrypt. We introduce you to Linode, a major cloud provider of virtual private servers. Then youll see how cross-compile a Go application, prepare and deploy a production deployment bundle, and turn a Go application into a system service.Moving on, youll find out how to dockerize a Go application and use the Docker Compose tool to define and run a multi-container Docker application. Finally, youll see how to turn a dockerized Go application into a system service.About the AuthorKamesh 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 of software development experience and has implemented numerous solutions in the advertising, entertainment, media, publishing, hospitality, video game, 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."
Price: 124.99 |
| "Building Professional Android Applications" |
| "Get away from courses that take ages to finish and lose your interest in the middle. In this course, you will get a step-by-step guide to creating professional grade Android N apps, with a real-world case study.In the first section, well create a strong architectural background for your app. Youll be able to edit and customize the foundations of the app so its transferable between different projects. Then, youll learn the most productive ways to save and read data on Android with the Room framework, ObjectBox, and the Firebase database.The third section is about utilizing efficient data structures to maintain speed, even when the amount of data is huge. Finally, well explore different ways to test Android applications such as: unit tests, integration tests, and end-to-end tests.The last section is about designing the front end of your app, including professional-level features, such as custom view development and explanatory user on boarding.Also, youll learn to upload your Android app to the Google Play store and discover advanced topics such as Payments, Android N Tiles, and voice interaction. By the end of the course, youll have the essential skills needed to build a real-world application.About the AuthorTadas ubonis started coding roughly when he was thirteen. Since then, he has programmed with PHP, JavaScript, Python, C++, and Java (the language in which he has probably written the most code).He took up Android in 2014 and identified that Android lacks decent support for asynchronous programming (Async Task was/is a joke) while more reckless languages, such as JavaScript, had Promises for a long time. Furthermore, Java's standard library was lacking decent support for functional programming primitives (map, filter), but that was easily fixable with libraries such as Guava.This lead Tadas to a search for a library that would help him achieve a Promise-like functionality and interface. It didn't take long until he found ReactiveX and its family of implementations (including RxJava) that handle streams in Reactive fashion. It wasn't exactly the flow of Promised-like systems but soon enough, he realized that it's even more powerful.Since then, he has been using RxJava (and RxKotlin) for his daily Android programming. The quality of the code (the lack of bugs, readability, and maintainability) has improved ten-fold."
Price: 124.99 |
| "Machine Learning Made Easy" |
| "Given the constantly increasing amounts of data they're faced with, programmers have to come up with better solutions to make machines smarter and reduce manual work. In this Machine Learning course, you'll use Python to craft better solutions and process them effectively.We start by focusing on key ML algorithms and how they can be trained for classification and regression. We will also work with Supervised and Unsupervised learning to help to get to grips with both types of algorithm. We will use the highly popular Scikit-learn library throughout the course while performing various ML tasks.By the end of the course, you will be adept at using the concepts and algorithms involved in Machine Learning. This is a highly practical course and will equip you with sufficient hands-on training to help you implement ML skills right after finishing the course.All the code and supporting files for this course are availableAbout the AuthorAfter taking a Physics degree at Oxford, Thomas Snell entered the Biophysics industry. Performing numerical simulation; from there, took a numerical simulation PhD in Geophysics. During his PhD, Thomas developed a keen interest in Machine Learning, eventually founding two open source projects: a cryptocurrency trader and an evolutionary system to design quantum algorithms. Shortly after sharing these projects with the open source community, he worked as a Data Scientist while finishing his PhD, developing a system to cluster job data and predict career paths for groups of individuals."
Price: 124.99 |
| "Introducing Test Driven Development in C#" |
| "Even after so many years, TDD is still one of the main buzzwords at almost every conference. This technique has proven itself to be one of the best practices out there when it comes to writing maintainable, robust, and testable code. This course covers key concepts, methods, and patterns behind TDD through concrete and practical examples in C# 7.This course starts off with an introduction to unit tests and unit test frameworks. Basically, you will learn how to write and automate tests for your implementations. After that, we shift the paradigm and see how to write your tests before implementation itself. We explore how to add full test support to our projects, as well. Through practical examples you will witness how this technique helps us write higher-quality code. In the final sections of this course, you will learn proven methods and patterns for writing modular and testable code. The principles of TDD will help you write better and cleaner code. In addition, youll see how solid tests give you a new sense of confidence when you need to modify existing code, refactor, and add new features.By the end of this course, you will have the tools you need to start building bulletproof applications, backed by an automated suite of tests to ensure quality software delivery.About the AuthorNikola ivkovi is a software developer with over seven years' experience in the industry. He earned his Masters degree in Computer Engineering from the University of Novi Sad in 2011, but by then he was already working for several companies. At the moment he works at Vega IT Sourcing from Novi Sad. He has worked on large enterprise systems as well as on small web projects. Also, he frequently talks at meetups and conferences and he is a guest lecturer at the University of Novi Sad."
Price: 124.99 |
| "JSON with Java EE 8: Hands-on Training" |
| "JSON (JavaScript Object Notation) is very simple data representation format. Its easy to read by humans, easy to parse by computers. JSON is language independent and supported by most of the modern programming languages. All of these make it one of the most popular data exchange formats.Java EE 8 fully supports JSON. It includes JSON Processing and JSON Binding APIs. These APIs were designed as part of Java Community Process by a group of experts in this area.This course is dedicated to JSON-P 1.1, JSON-B 1.0 and Yasson 1.0. You will learn how to use these APIs to build portable applications based on Java standards. We will start with simple use cases and step by step, increasing complicity, go to advanced features.By the end of this course, you will become familiar with JSON Processing API and JSON Binding API. You will be able to create, parse and transform JSON documents, use JSON Pointer, JSON Patch as well as JSON-B adapters and serializers and other features.About the AuthorDmitry Kornilov is a Senior Software Development Manager at Oracle in Prague (Czech Republic) Active JCP member holding the ""Outstanding Spec Lead 2016"" awardJSON-B (JSR-367) specification lead.JSON-P (JSR-374) specification lead Participated in design and development of Java EE 8, JPA, JAXB, JAX-WS, SAAJ and other products Eclipse Link project committer. Over 20 years of experience in design and implementation of complex software systems, defining systems architecture, team leading and project management. Bachelor of Science in Applied Mathematics from Moscow Aircraft Institute (Technical University)"
Price: 124.99 |
| "Next Generation Natural Language Processing with Python" |
| "The company you work for has accumulated a lot of valuable data from its customers, all stored as text, and you need to extract some value from that data. Youve spent a lot of combined time writing about what they want but no-one knows what they have written about and no-one has the time to read all the messages.This course empowers you to know how to attack this and other text analysis problems to unlock value for your organization. Youll start by seeing how NLP can help you extract useful information from large collections of text data, and how you can use the latest Python libraries for NLP. Then well show you how to solve a practical problem using NLP by building a spam SMS detector. Youll also learn to convert words into numbers that can be analyzed.Moving on, well teach you how to accurately label new documents to get an accuracy score and cluster your data together. Finally, youll see more advanced analysis and will model text by using vector space models and semantic parsing to break down the components of a sentence. Youll also work with neural networks and learn how to write believable text.By the end of the course, youll be able to use the latest libraries of NLP in Python in your day-to-day tasksAbout the AuthorAlex Rutherford is a Research Scientist at MIT Media Lab. He has a PhD in Physics and nearly 10 years of experience of using Python for data analysis and modeling gained at the United Nations, Facebook, and elsewhere. He has tackled many problems using data analysis including epidemiology, ethnic violence, vaccine hesitancy, and constitutional change and has built pipelines for social media data, legal documents, and news articles among others. He blogs and tweets regularly on data science and data privacy."
Price: 124.99 |
| "Hands-on TensorFlow Lite for Intelligent Mobile Apps" |
| "This complete guide will teach you how to build and deploy Machine Learning models on your mobile device with TensorFlow Lite. You will understand the core architecture of TensorFlow Lite and the inbuilt models that have been optimized for mobiles.You will learn to implement smart data-intensive behavior, fast, predictive algorithms, and efficient networking capabilities with TensorFlow Lite. You will master the TensorFlow Lite Converter, which converts models to the TensorFlow Lite file format. This course will teach you how to solve real-life problems related to Artificial Intelligencesuch as image, text, and voice recognitionby developing models in TensorFlow to make your applications really smart. You will understand what Machine Learning can do for you and your mobile applications in the most efficient way. With the capabilities of TensorFlow Lite you will learn to improve the performance of your mobile application and make it smart.By the end of the course, you will have learned to implement AI in your mobile applications with TensorFlow.About the AuthorJuan Miguel Valverde Martinez is a Deep Learning, Computer Vision and Tensorflow enthusiast, with an MSc in IT and Cognition from the University of Copenhagen. His main interests are Computer Vision and Medical Image Analysis, and he has recently been more interested in Adversarial Training and Natural Language Processing. In his free time, he likes to read papers and research.In addition to Computer Science, he also enjoys learning languages and cooking, especially Mediterranean and Asian dishes."
Price: 124.99 |
| "Advanced Artificial Intelligence Projects with Python" |
| "Considered the Holy Grail of automation, data analysis, and robotics, Artificial Intelligence has taken the world by storm as a major field of research and development. Python has surfaced as a dominate language in AI/ML programming because of its simplicity and flexibility, in addition to its great support for open source libraries such as spaCy and TensorFlow.This video course is built for those with a basic understanding of artificial intelligence, introducing them to advanced artificial intelligence projects as they go ahead. The first project introduces natural language processing including part-of-speech tagging and named entity extraction. Wikipedia articles are used to demonstrate the extraction of keywords, and the Enron email archive is mined for mentions and relationships of people, places, and organizations. The spaCy library is used. The next project introduces genetic algorithms. The DEAP library is used. A music data set is used in a genetic algorithm that generates a music playlist satisfying multiple criteria such as song similarity and playlist length. The last project introduces reinforcement learning and deep reinforcement learning. The OpenAI Gym platform and Q-learning algorithm are used to build a game-playing AI.About the AuthorJoshua Eckroth is Assistant Professor of Computer Science at Stetson University, where he teaches Big Data Mining and Analytics, Artificial Intelligence (AI), and Software Engineering. Dr. Eckroth joined the Math and Computer Science Department at Stetson University in Fall 2014. He earned his PhD from Ohio State University in the areas of AI and cognitive science, focusing on abductive reasoning and metareasoning. He is an active researcher with numerous refereed publications in the fields of artificial intelligence and computer science education. Dr. Eckroth also serves as Chief Architect at i2k Connect, LLC., whose mission is to revolutionize the ability of companies to find, filter, and analyze data in documents by extracting essential information from data clutter. In addition, Dr. Eckroth is co-editor of AITopics .org, the Internet's largest collection of information about the research, the people, and the applications of Artificial Intelligence."
Price: 124.99 |
| "Deep Learning Architectures and Applications" |
| "This video course presents deep learning architectures coded in Python using Keras, a modular neural network library that runs on top of either Google's TensorFlow or Lisa Lab's Theano backends. This video course introduces Generative Adversarial Networks (GANs) that are used to reproduce synthetic data that looks like data generated by humans, and then teach how to forge the MNIST and CIFAR-10 dataset with the help of Keras Adversarial GANs.Practical applications include code for predicting the surrounding words given the current word, sentiment analysis, and synthetic generation of texts. We will learn about a specific form of word embedding word2vec. This embedding has proven more effective and has been widely adopted in the deep learning and NLP communities. We will also learn different ways in which you can generate your own embeddings in your Keras code.By the end of this video course, you will be able to transform words in text into vector embeddings that retain the distributional semantics of the word.About The AuthorsAntonio Gulli is a software executive and business leader with a passion for establishing and managing global technological talent, innovation, and execution. He is an expert in search engines, online services, machine learning, information retrieval, analytics, and cloud computing. So far, he has been lucky enough to gain professional experience in four different countries in Europe and managed people in six different countries in Europe and America. Antonio served as CEO, GM, CTO, VP, director, and site lead in multiple fields ranging from publishing (Elsevier) to consumer internet (Ask. com and Tiscali) and high-tech R&D (Microsoft and Google).Sujit Pal is a technology research director at Elsevier Labs, working on building intelligent systems around research content and metadata. His primary interests are information retrieval, ontologies, natural language processing, machine learning, and distributed processing. He is currently working on image classification and similarity using deep learning models. Prior to this, he worked in the consumer healthcare industry, where he helped build ontology-backed semantic search, contextual advertising, and EMR data processing platforms. He writes about technology on his blog at Salmon Run."
Price: 124.99 |
| "Advanced Web Development with Django" |
| "Django is one of the world's leading web development platforms and follows the model-view-template development method. This Python web framework makes your app-building experience smoother, faster, and easier. This has been (and continues to be) the key feature behind the success of many start-ups across the world.You'll learn the skills needed to develop powerful websites quickly, with code that is clean and easy to maintain. This course will focus on how to keep your projects secure, how to integrate third-party libraries to build out quick, but powerful APIs, and how to make your projects easier to work with. We start off by learning how class-based views work so that you can fully benefit from this powerful, but often poorly understood feature. You'll then create custom middleware to help you better organize frequently used code.Have you ever wanted to build a complete REST API? We'll do just that, starting out with a basic read-only API and then adding key-based authentication to allow the full range of CRUD functionality. We'll also utilize model managers and the Q method so that we can make it easier to get the data we need to use our views and clients. For the finishing touches, we'll delve into the details of caching, to improve our application performance, and then add custom management commands to help us automate routine tasks. We will also show you how to secure your web App using various Django tools. By the end of this video course, you will emerge as a fully-fledged Django expertAbout The AuthorJeremy Spencer is a speaker, trainer and consultant with over 10 years experience in web technologies and helping the people who use them.He started using Django and Python after running into early limitations with PHP. In 2017 he started blogging to teach the basics of Django and Python on Medium @jeremytiki. After the blog initially took off, his proposal was accepted for DjangoCon 2017 where a similar presentation was given at the convention that year.Now he spends most of his time consulting for small business and helping beginners get into Python and Django. He continues to find new ways to help beginners learn to love programming as much as he does."
Price: 124.99 |
| "An Introduction into Machine Learning C++ Libraries" |
| "Being able to perform machine learning in C++ will make you a very desirable hiring target. Not that you wouldnt be if you used any other language but, the truth is that machine learning in C++ is a great combination that is likely to give you access to very interesting positions!In this course, we focus on the practical part of machine learningemploying different C++ libraries. Several popular machine learning libraries currently existwell review them and youll become familiar with four of them. We use examples of standard machine learning algorithms implemented through the libraries. The course ends with hints that will help you to choose a library depending on the requirements of the situation.Taking this course will not only help you build a familiarity with existing machine learning libraries, but also solve complex machine learning problems.ABOUTTHEAUTHORTOMJOY :Colibri is a technology consultancy company founded in 2015 by James Cross and Ingrid Funie. The company works to help their 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."
Price: 124.99 |
| "Java Deep Learning Solutions" |
| "Deep Learning is part of a broader family of machine learning methods based on learning data representations. Deeplearning4j is a Deep Learning programming library written in Java and the Java Virtual Machine (JVM) and is a computing framework with wide support for Deep Learning algorithms.In this course, you start by installing Deep Learning software for Java. You learn how to use the DL4J library and apply Deep Learning to a range of real-world use cases. The course will take you into Neural Networks, working with Perceptron, XOR, and Gradient Descent on code examples. It then covers Convolutional Networks with extraction, Max pooling, and Softmax. You'll get hands-on with working examples at the end of each section. It also covers Recurrent Neural Network, explaining all the features of its Architecture. Finally, you'll learn about Word2Vec's different models and how to work with them via practical examples.By the end of this video course, youll be ready to tackle Deep Learning with Java.About the AuthorShreenidhi Sudhakar is a Deep Learning enthusiast. He has completed his Masters from Florida Institute of Technology with specialization in Machine Learning. On the work front, he has around 3 years of experience in IT as a Principal Deep Learning Intern and Full Stack Java Developer. He also writes articles on Deep Learning for the blog Towards Data Science."
Price: 124.99 |
| "Hands On Functional Kotlin" |
| "Functional programming is a hot topic right now; more and more programmers are finding it better for large- scale applications because of its native support and safety. Modern languages such as Kotlin and Swift already support many functional programming features, which makes functional programming even more attractive.This course demonstrates Kotlin language features and use-cases as well as popular functional programming concepts and techniques. You will learn to design application structures using functional programming concepts and implement business logic using tools provided by Arrow libraryAbout The AuthorStepan Goncharov lives in Singapore. He is involved in helping local developers to grow by sharing knowledge and organizing Kotlin Singapore User Group events.He has been engineering apps and games for Android since 2008. He has experience in QA, as a product manager, marketer, blogger, consultant, engineering manager, and much more. He has been involved in the development of apps that nobody uses and apps with millions of users worldwide. He currently works at Grab, actively uses Kotlin and Rx, and spends more and more time contributing to OSS. When he is not recording video courses or organizing events for developers, he travels around South East Asia skiing on a wakeboard."
Price: 124.99 |
| "Hands-on Artificial Intelligence with TensorFlow" |
| "TensorFlow is one of the most commonly used frameworks for Deep Learning and AI. This course will be your guide to understand and learn the concepts of Artificial intelligence by applying them in a real-world project with TensorFlow.This course will show you how to combine the power of Artificial Intelligence and TensorFlow to develop some exciting applications for the real world. This course will take you through all the relevant AI domains, tools, and algorithms required to build optimal solutions and will show you how to implement them hands-on. You will then be taken through techniques such as reinforcement learning, heuristic searches, neural networks, Computer Vision, OpenAI Gym, and more in different stages of your application. This course will show you how to implement AI practically using TensorFlow models and how it eases the way you interact with the technology.You will learn how TensorFlow can be used to analyze a variety of data sets and will learn to optimize various AI algorithms. By the end of the course, you will have learned to build intelligent apps by leveraging the full potential of Artificial Intelligence with TensorFlowAbout the AuthorSaikat Basak is currently working as a machine learning engineer at Kepler Lab, the research & development wing of SapientRazorfish, India. His work at Kepler involves problem-solving using machine learning, researching and building deep learning models. Saikat is extremely passionate about Artificial intelligence becoming a reality and hopes to be one of the architects of the future of AI."
Price: 124.99 |
| "Jira 7 Essentials" |
| "In this course, we start by introducing you to Jira and taking you through all aspects of it so you can use it effectively; if you have never deployed Jira before then this course is for you. We cover how to plan the installation of Jira. Then you will learn the fundamentals of the tool such as how to create a new project, manage issues, search, and report. We explain all three flavors of JiraJira Core, Jira Software, and Jira Service Deskin detail and specific scenarios for each one of them will be developed. Finally, we share some tips on getting the most out of Jira.About the AuthorRavi Sagar is an Atlassian Consultant and Drupal expert with several years' experience in web development and business analysis. He has done extensive work implementing and customizing big Jira instances for project tracking, test management, support tickets, and Agile tracking.Ravi founded Sparxsys Solutions Pvt. Ltd. in 2010. It is a company that provides consultancy and training services on Atlassian tools and Drupal. He has a keen interest in building accessible websites adhering to WCAG guidelines. Ravi's areas of interest include project management and Agile methodologies.Along with this, he has also authored several books for Packt. They are: Mastering JIRA 7 - Second Edition Mastering JIRA book. Your Definite Guide - To Build a Fantastic Blog in DrupaHis certifications also include: Atlassian ""Certified Professional Jira Administrator"". Atlassian ""Certified in Agile Development with Jira Software"".In his free time, he loves blogging on his website where he writes regularly about topics such as DevOps and programming."
Price: 124.99 |
| "Practical AWS Networking" |
| "Amazon Web Services (AWS) dominates the public cloud market by a huge margin and continues to be the first choice for many organizations. Networking has been an area of focus for all the leading cloud service providers. AWS has a suite of network-related products which help in performing network related task on AWS. This course initially covers the basics of networking in AWS. Then we use AWS VPC to create an isolated virtual cloud for performing network-related tasks. We then provide an overview of AWS Direct Connect after taking a deep dive into scalability and load balancing using the auto scaling feature, Elastic Load Balancing, and Amazon Route S3. Toward the end of this course, we cover security best practices for your network. By the end of this video course, you will have hands-on experience of working with network tasks on AWS.About the AuthorMitesh Soni is a DevOps enthusiast. He has worked on projects for DevOps enablement using Microsoft Azure and VSTS.He also has experience in working with other tools that are DevOps enablers such as Jenkins, Chef, IBM UrbanCode Deploy, Atlassian Bamboo, and more. He is a CSM, SCJP, SCWCD, VCP, IBM Bluemix, CJE and IBM Urbancode certified professional."
Price: 124.99 |
| "Progressive Web Application Development" |
| "This course teaches you how to build discoverable and engaging progressive web applications (PWAs) using the Cache API to make it offline-ready and blazingly fast service workers to intercept network requests and web app manifests, thus leveraging native-like features.We begin by introducing the core concepts of progressive web apps, explaining each of them in detail and finishing up by implementing them into a production-ready app.A service worker is the main PWA tool. In this course, you will master the power of new APIs including the Fetch API, promises, and more. Don't lose your users when their internet connection is lost; get hands-on with powerful caching and network request strategies to provide synchronization of data while your app is offline. Learn how to improve user engagement with your apps by adding push notifications.We also cover app manifests in depth to let your users add your application to their mobile home screen and reopen the app as easily as tabbing on the web app icon, just as with other native mobile apps. They'll also surf while there is no address bar; the user experience feels like a native mobile app due to the addition of a splash screen, application shell, native default color, and more.Tools are always helpful while developing software; therefore, this course teaches you how to boost your productivity by using Workbox, to make service worker management a lot easier, and Lighthouse, to show your PWA score demonstrate and how you can achieve 100/100.All of the topics in this course feed into a practical project which, by the end of the course, is ready to deploy to production. To ensure that the app is useful for any kind of project later and also that you can learn everything in depth, the course project is created in pure JS/CSS/HTML.Last but not least, SPAs (Single Page Applications) are super-critical as these days they perform such a leading role in web development and building hybrid and native mobile apps. Therefore, this course dedicates a section to show you how you can use Angular, React, Ember, and Vue.js to build a progressive web application.About the AuthorMajid Hajian is a software engineer with a passion for frontend technologies who has been worked over 9 years in this field.He is very involved in open source projects; he also helps to organize meetups and conferences around the world such as Vue.js, Angular and is a mobile meetup co-organizer in Oslo.Majid is also a public technical speaker, a trainer, and a blogger.If you want to get in touch with him feel free to contact him on Twitter (@mhadaily)."
Price: 124.99 |
| "Learn C# in 7 days" |
| "This video course takes a unique approach to teach C# to absolute beginners. Youll learn the basics of the language in seven days. It takes a practical approach to explain the important concepts that build the foundation of the C# programming language.The course begins by teaching you the basic fundamentals using real-world practical examples and gets you acquainted with C# programming. We cover some important features and nuances of the language in a hands-on way, helping you grasp the concepts in a fluid manner.Later, youll explore the concepts of Object-Oriented Programming (OOP) through a real-world example. Then we dive into advanced-level concepts such as generics and collections, and youll get acquainted with objects and LINQ. Toward the end, youll build an application that covers all the concepts explained in this video course.By the end of this course, youll have next-level skills and a good knowledge of the fundamentals of C#.About The AuthorGaurav Aroraa has done an M.Phil in computer science. He is a Microsoft MVP, a life-time member of Computer Society of India (CSI), and is certified as a scrum trainer/coach, XEN for ITIL-F and APMG for PRINCE-F and PRINCE-P. Gaurav serves as a mentor at IndiaMentor, an open source developer, and a contributor to TechNet Wiki co-founder of Innatus Curo Software LLC. In 19+ years of his career, he has mentored thousands of students and industry professionals. You can tweet Gaurav on his twitter handle @g_arora."
Price: 124.99 |
| "Advanced Machine Learning with Spark 2.x" |
| "The aim of this course is to provide a practical understanding of advanced Machine Learning algorithms in Apache Spark to make predictions and recommendation and derive insights from large distributed datasets. This course starts with an introduction to the key concepts and data types that are fundamental to understanding distributed data processing and Machine Learning with Spark.Further to this, we provide practical recipes that demonstrate some of the most popular algorithms in Spark, leading to the creation of sophisticated Machine Learning pipelines and applications. The final sections are dedicated to more advanced use cases for Machine Learning: streaming, Natural Language Processing, and Deep Learning. In each section, we briefly establish the theoretical basis of the topic under discussion and then cement our understanding with practical use cases.About the AuthorsEmmanuel Asimadi is a data scientist and works for projects at the University of Leicester. Tomasz 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. He is currently working on this website using ML:"
Price: 124.99 |
| "Dive into Core of Selenium Automation" |
| "Selenium 3.0, shipped after a gap of 5 years, represents a significant change. It is only a drop-in replacement for WebDriver API users; however, it has removed the major Selenium core implementation. Selenium WebDriver API is fully object oriented compared with the deprecated Selenium RC. The WebDriver API provides multi-language support and runs tests on all the most popular browsers. In this wide and complex World Wide Web era, this video will teach you how to tame it by gaining an in-depth understanding of the Selenium API.This video starts with how to solve the difficult problems that you will undoubtedly come across as you start using Selenium in an enterprise environment. You'll learn to produce the right feedback when failing and what the common exceptions are, explain them properly (including the root cause), and fix them. You will also see the differences between the three available implicit waits and explicit waits, and learn to work with effective page objects. Moving on, the video shows you how to utilize the advanced user interactions API, how you can run any JavaScript you need through Selenium. Finally, the video discusses hard assertions and soft assertions and how to use them.About The AuthorDmitry Shyshkin is a lead QA automation engineer? at FareCompare. com with 6 years of test automation experience using Selenium. He has worked in Waterfall and Agile environment, on desktop, web-based and mobile projects.He started his QA career without any QA/Testing knowledge. He took online Software QA classes where he learned about different types of testing. On his second job, he learned about test automation for the first time, and I liked it more than manual testing and thereby decided to move into test automation."
Price: 124.99 |
