Beginning Git and GitHub

<img alt="Beginning Git and GitHub Front Cover" src="https://images-na.ssl-images-amazon.com/images/I/41VZpy0qXDL._SL200_.jpg" /><br /> <br /> This book is your complete guide to how Git and GitHub work in a professional team environment.<br /> <br /> Divided into three parts – Version Control, Project Management and Teamwork – this book reveals what waits for you in the real world and how to resolve the problems you may run into. Once past the basics of Git, you'll see how to manage a software project, and finally how to utilize Git and GithHub to work effectively as a team.<br /> <br /> You'll examine how to plan, follow and execute a project with GitHub, and then apply those concepts to real-world situations. Workaround the pitfalls that most programmers fall into when driving a project with Git by using proven tactics to avoid them. You will also be taught the easiest and quickest ways to resolve merge conflicts.<br /> <br /> A lot of modern books on Git don’t go into depth about non-technical topics. Beginning Git and GitHub will help you cover all the bases right at the start of your career.<br /> <br /> What You'll Learn<br /> <br /> Review basic and advanced concepts of Git<br /> Apply Project Management skills using GitHub<br /> Solve conflicts or, ideally, avoid them altogether<br /> Use advanced concepts for a more boosted workflow<br /> Who This book Is For<br /> <br /> New developers, developers that have never worked in a team environment before, developers with basic knowledge of Git or GitHub, or anyone who works with text documents.<br /> <br /> Book Download<br /> <a href="https://www.blogger.com/goog_988064368"><br /></a> <a href="https://drive.google.com/open?id=1LKV4SNXbaQ2j8byfBD3jvGDCxukgtnCL">https://drive.google.com/open?id=1LKV4SNXbaQ2j8byfBD3jvGDCxukgtnCL</a>

Beginning Git and GitHub

This book is your complete guide to how Git and GitHub work in a professional team environment. Divided into three parts – Version Contr...

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Deep Neuro-Fuzzy Systems with Python

<img alt="Deep Neuro-Fuzzy Systems with Python Front Cover" src="https://images-na.ssl-images-amazon.com/images/I/51YLpmYMopL._SL200_.jpg" /><br /> <br /> Gain insight into fuzzy logic and neural networks, and how the integration between the two models makes intelligent systems in the current world. This book simplifies the implementation of fuzzy logic and neural network concepts using Python.<br /> <br /> You’ll start by walking through the basics of fuzzy sets and relations, and how each member of the set has its own membership function values. You’ll also look at different architectures and models that have been developed, and how rules and reasoning have been defined to make the architectures possible. The book then provides a closer look at neural networks and related architectures, focusing on the various issues neural networks may encounter during training, and how different optimization methods can help you resolve them.<br /> <br /> In the last section of the book you’ll examine the integrations of fuzzy logics and neural networks, the adaptive neuro fuzzy Inference systems, and various approximations related to the same. You’ll review different types of deep neuro fuzzy classifiers, fuzzy neurons, and the adaptive learning capability of the neural networks. The book concludes by reviewing advanced neuro fuzzy models and applications.<br /> <br /> What You’ll Learn<br /> <br /> Understand fuzzy logic, membership functions, fuzzy relations, and fuzzy inference<br /> Review neural networks, back propagation, and optimization<br /> Work with different architectures such as Takagi-Sugeno model, Hybrid model, genetic algorithms, and approximations<br /> Apply Python implementations of deep neuro fuzzy system<br /> Who This book Is For<br /> <br /> Data scientists and software engineers with a basic understanding of Machine Learning who want to expand into the hybrid applications of deep learning and fuzzy logic.<br /> <br /> Book Download<br /> <br /> <a href="https://drive.google.com/open?id=1VTg1rN4o4pmAjiTo28Z5Kz7bFugzoGyn">https://drive.google.com/open?id=1VTg1rN4o4pmAjiTo28Z5Kz7bFugzoGyn</a><br /> <br /> <br />

Deep Neuro-Fuzzy Systems with Python

Gain insight into fuzzy logic and neural networks, and how the integration between the two models makes intelligent systems in the current...

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Build a Next-Generation Digital Workplace

<br /> <img alt="Build a Next-Generation Digital Workplace Front Cover" src="https://images-na.ssl-images-amazon.com/images/I/41A48KqkxxL._SL200_.jpg" /><br /> <br /> <br /> Build a Next-Generation Digital Workplace: Transform Legacy Intranets to Employee Experience Platforms<br /> <br /> Evolve your traditional intranet platform into a next-generation digital workspace with this comprehensive book. Through in-depth coverage of strategies, methods, and case studies, you will learn how to design and build an employee experience platform (EXP) for improved employee productivity, engagement, and collaboration.<br /> <br /> In Build a Next-Generation Digital Workplace, author Shailesh Kumar Shivakumar takes you through the advantages of EXPs and shows you how to successfully implement one in your organization. This book provides extensive coverage of topics such as EXP design, user experience, content strategy, integration, EXP development, collaboration, and EXP governance. Real-world case studies are also presented to explore practical applications.<br /> <br /> Employee experience platforms play a vital role in engaging, empowering, and retaining the employees of an organization. Next-generation workplaces demand constant innovation and responsiveness, and this book readies you to fulfill that need with an employee experience platform.<br /> <br /> You will:<br /> <br /> Understand key design elements of EXP, including the visual design, EXP strategy, EXP transformation themes, information architecture, and navigation design.<br /> Gain insights into end-to-end EXP topics needed to successfully design, implement, and maintain next-generation digital workplace platforms.<br /> Study methods used in the EXP lifecycle, such as requirements and design, development, governance, and maintenance<br /> Execute the main steps involved in digital transformation of legacy intranet platforms to EXP.<br /> Discover emerging trends in digital workplace such as gamification, machine-led operations model and maintenance model, employee-centric design (including persona based design and employee journey mapping), cloud transformation, and design transformation.<br /> Comprehend proven methods for legacy Intranet modernization, collaboration, solution validation, migration, and more.<br /> Who This Book Is For<br /> <br /> Digital enthusiasts, web developers, digital architects, program managers, and more.<br /> <br /> Book Download<br /> <br /> <a href="https://drive.google.com/open?id=1iEp-3UGvu35rRNFeb3R0I6tEtKkK7i8t">https://drive.google.com/open?id=1iEp-3UGvu35rRNFeb3R0I6tEtKkK7i8t</a><br /> <br /> <br />

Build a Next-Generation Digital Workplace

Build a Next-Generation Digital Workplace: Transform Legacy Intranets to Employee Experience Platforms Evolve your traditional intrane...

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Smart Computing Paradigms, Volume 2

<img alt="Smart Computing Paradigms, Volume 2 Front Cover" src="https://images-na.ssl-images-amazon.com/images/I/41rIMeJXFlL._SL200_.jpg" /><br /> <br /> This two-volume book focuses on both theory and applications in the broad areas of communication technology, computer science and information security. It brings together contributions from scientists, professors, scholars and students, and presents essential information on computing, networking, and informatics. It also discusses the practical challenges encountered and the solutions used to overcome them, the goal being to promote the “translation” of basic research into applied research, and of applied research into practice. The works presented here will also demonstrate the importance of basic scientific research in a range of fields.<br /> <br /> Book Download<br /> <br /> <a href="http://www.nitroflare.com/view/2D10C87263B24A5/Springer.Smart.Computing.Paradigms.Volume.2.9811396795.rar">http://www.nitroflare.com/view/2D10C87263B24A5/Springer.Smart.Computing.Paradigms.Volume.2.9811396795.rar</a><br /> <div> <br /></div>

Smart Computing Paradigms, Volume 2

This two-volume book focuses on both theory and applications in the broad areas of communication technology, computer science and informat...

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OCP Oracle Certified Professional Java SE 11 Programmer I Study Guide: Exam 1Z0-815

<img alt="OCP Oracle Certified Professional Java SE 11 Programmer I Study Guide: Exam 1Z0-815 Front Cover" src="https://images-na.ssl-images-amazon.com/images/I/51WI%2B24uGrL._SL200_.jpg" /><br /> <br /> The comprehensive study aide for those preparing for the new Oracle Certified Professional Java SE Programmer I exam--fully updated for the latest update of Exam 1Z0-815<br /> <br /> Used primarily in mobile and desktop application development, Java is a platform-independent, object-oriented programming language. It is the principal language used in Android application development as well as a popular language for client-side cloud applications. Oracle has updated its Java Programmer certification tracks for Oracle Certified Professional.<br /> <br /> The OCP Oracle Certified Professional Java SE 11 Programmer I Study Guide covers 100% of exam objectives, ensuring that you are thoroughly prepared for this challenging certification exam. This comprehensive, in-depth study guide helps you develop the functional-programming knowledge required to pass the exam and earn certification. All vital topics are covered, including Java building blocks, operators and loops, String and StringBuilder, Array and ArrayList, and more. Included is access to Sybex's superior online interactive learning environment and test bank--containing self-assessment tests, chapter tests, bonus practice exam questions, electronic flashcards, and a searchable glossary of important terms. This indispensable guide:<br /> <br /> Clarifies complex material and strengthens your comprehension and retention of key topics<br /> Covers all exam objectives such as methods and encapsulation, exceptions, inheriting abstract classes and interfaces, Modules, and Lambda Expressions<br /> Explains object-oriented design principles and patterns<br /> Helps you master the fundamentals of functional programming<br /> Enables you to create Java solutions applicable to real-world scenarios<br /> There are over 9 millions developers using Java around the world, yet hiring managers face challenges filling open positions with qualified candidates. The OCP Oracle Certified Professional Java SE 11 Programmer I Study Guide will help you take the next step in your career.<br /> <br /> Book Download<br /> <a href="https://www.blogger.com/goog_988064359"><br /></a> <a href="http://www.nitroflare.com/view/6156F4D3649ACB7/Sybex.OCP.Oracle.Certified.Professional.Java.SE.11.Programmer.I.Study.Guide.1119584701.rar">http://www.nitroflare.com/view/6156F4D3649ACB7/Sybex.OCP.Oracle.Certified.Professional.Java.SE.11.Programmer.I.Study.Guide.1119584701.rar</a><br /> <div> <br /></div>

OCP Oracle Certified Professional Java SE 11 Programmer I Study Guide: Exam 1Z0-815

The comprehensive study aide for those preparing for the new Oracle Certified Professional Java SE Programmer I exam--fully updated for th...

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Clean Ruby: A Guide to Crafting Better Code for Rubyists

<img alt="Clean Ruby: A Guide to Crafting Better Code for Rubyists Front Cover" src="https://images-na.ssl-images-amazon.com/images/I/41Ex%2BvVLu0L._SL200_.jpg" /><br /> <br /> Learn how to make better decisions and write cleaner Ruby code. This book shows you how to avoid messy code that is hard to test and which cripples productivity. Author Carleton DiLeo shares hard-learned lessons gained from years of experience across numerous codebases both large and small. Each chapter covers the topics you need to know to make better decisions and optimize your productivity. Many books will tell you how to do something; this book will tell you why you should do it. Start writing code you love.<br /> <br /> What You Will Learn<br /> <br /> Build better classes to help promote code reuse<br /> Improve your decision making and make better, smarter choices<br /> Identify bad code and fixed it<br /> Create quality names for all of your variables, classes, and modules<br /> Write better, concise classes<br /> Improve the quality of your methods<br /> Properly use modules<br /> Clarify your Boolean logic<br /> See when and how you refactor<br /> Improve your understanding of TDD and write better tests<br /> Who This Book Is For<br /> <br /> This book is written for Ruby developers. There is no need to learn a new language or translate concepts to Ruby.<br /> <br /> Book Download<br /> <a href="https://www.blogger.com/goog_988064355"><br /></a> <a href="http://www.nitroflare.com/view/55B1F2EEED586DE/Apress.Clean.Ruby.A.Guide.to.Crafting.Better.Code.for.Rubyists.1484255453.rar">http://www.nitroflare.com/view/55B1F2EEED586DE/Apress.Clean.Ruby.A.Guide.to.Crafting.Better.Code.for.Rubyists.1484255453.rar</a><br /> <div> <br /></div>

Clean Ruby: A Guide to Crafting Better Code for Rubyists

Learn how to make better decisions and write cleaner Ruby code. This book shows you how to avoid messy code that is hard to test and which...

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Hands-On Machine Learning with TensorFlow.js

<img alt="Hands-On Machine Learning with TensorFlow.js Front Cover" src="https://images-na.ssl-images-amazon.com/images/I/51sevWrw2qL._SL200_.jpg" /><br /> <br /> Get hands-on with the browser-based JavaScript library for training and deploying machine learning models effectively<br /> <br /> Key Features<br /> Build, train and run machine learning models in the browser using TensorFlow.js<br /> Create smart web applications from scratch with the help of useful examples<br /> Use flexible and intuitive APIs from TensorFlow.js to understand how machine learning algorithms function<br /> Book Description<br /> TensorFlow.js is a framework that enables you to create performant machine learning (ML) applications that run smoothly in a web browser. With this book, you will learn how to use TensorFlow.js to implement various ML models through an example-based approach.<br /> <br /> Starting with the basics, you'll understand how ML models can be built on the web. Moving on, you will get to grips with the TensorFlow.js ecosystem to develop applications more efficiently. The book will then guide you through implementing ML techniques and algorithms such as regression, clustering, fast Fourier transform (FFT), and dimensionality reduction. You will later cover the Bellman equation to solve Markov decision process (MDP) problems and understand how it is related to reinforcement learning. Finally, you will explore techniques for deploying ML-based web applications and training models with TensorFlow Core. Throughout this ML book, you'll discover useful tips and tricks that will build on your knowledge.<br /> <br /> By the end of this book, you will be equipped with the skills you need to create your own web-based ML applications and fine-tune models to achieve high performance.<br /> <br /> What you will learn<br /> Use the t-SNE algorithm in TensorFlow.js to reduce dimensions in an input dataset<br /> Deploy tfjs-converter to convert Keras models and load them into TensorFlow.js<br /> Apply the Bellman equation to solve MDP problems<br /> Use the k-means algorithm in TensorFlow.js to visualize prediction results<br /> Create tf.js packages with Parcel, Webpack, and Rollup to deploy web apps<br /> Implement tf.js backend frameworks to tune and accelerate app performance<br /> Who this book is for<br /> This book is for web developers who want to learn how to integrate machine learning techniques with web-based applications from scratch. This book will also appeal to data scientists, machine learning practitioners, and deep learning enthusiasts who are looking to perform accelerated, browser-based machine learning on Web using TensorFlow.js. Working knowledge of JavaScript programming language is all you need to get started.<br /> <br /> Table of Contents<br /> <br /> <ol> <li>Machine Learning for the Web</li> <li>Importing Pre-trained Models into TensorFlow.js</li> <li>TensorFlow.js Ecosystem</li> <li>Polynomial Regression</li> <li>Classification with Logistic Regression</li> <li>Unsupervised Learning</li> <li>Sequential Data Analysis</li> <li>Dimensionality Reduction</li> <li>Solving Markov decision problems</li> <li>Deploying Machine Learning Applications</li> <li>Tuning applications to achieve high performance</li> <li>Future Works around TensorFlow.js</li> </ol> <div> Book Download</div> <div> <a href="https://www.blogger.com/goog_988064352"><br /></a></div> <div> </div> <br /> <div> <a href="http://www.nitroflare.com/view/8A43BC425F4707F/Packt.Hands-On.Machine.Learning.with.TensorFlow.js.1838821732.ra">http://www.nitroflare.com/view/8A43BC425F4707F/Packt.Hands-On.Machine.Learning.with.TensorFlow.js.1838821732.ra</a>r</div> <div> <br /></div> <br /> <br />

Hands-On Machine Learning with TensorFlow.js

Get hands-on with the browser-based JavaScript library for training and deploying machine learning models effectively Key Features Buil...

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