This book starts with an introduction to PyTorch and tensors, the data structure used to calculate arithmetic operations. Author Pradeepta Mishra then looks at probability distributions using PyTorch, and dives into transformations and graph computations. Along the way the book covers common issues faced with neural network implementation and tensor differentiation. Moving on to algorithms it shows how PyTorch works with supervised and unsupervised algorithms, as well as how convolutional neural networks, deep neural networks, and recurrent neural networks work using it. The book concludes with natural language processing and text processing using PyTorch.

<ASIN:1484242572>

This book looks at using the GeoServer open source, server-side software for sharing and editing geospatial data. Author Ben Mearns starts by showing how to develop a spatial analysis platform with web processing services, before moving on to more advanced topics such as tile caching. The book also shows how to produce a performant GeoServer-backed web mapping application, and how to enable authentication on the frontend and backend to protect sensitive map data, and deliver sensitive data to end users.

<ASIN:1789538602>

This book covers the basic game development process using Python, covering game topics including graphics, sound, artificial intelligence, animation, game engines, etc. Author James R. Parker creates real games as you work through the text and significant parts of a game engine are built and made available for download. The companion disc contains all of the resources described in the book, e.g. example code, game assets, video/sound editing software, and color figures.

<ASIN:1683921801>

This book aims to show that Julia is an accessible, intuitive, and highly efficient base language with speed that exceeds R and Python. Authors Paul D. McNicholas and Peter Tait get readers up to speed on key features of the Julia language and illustrate its facilities for data science and machine learning work. Using well known data science methods, the book shows what makes Julia a formidable language for data science.

<ASIN:1138499986>

This is an intermediate-level tutorial that introduces Angular and TypeScript to developers comfortable with building web applications using other frameworks and tools. Authors Yakov Fain and Anton Moiseev cover core concerns like state management, data, forms, and server communication as you build a full-featured online auction app.  They also show how to write type-aware classes, interfaces, and generics with TypeScript, along with time-saving best practices to use in your own work.

<ASIN:1617295345>

This book is designed as an advanced manual for C++ programming that aims to help experienced developers get more out of the latest release and this 4th edition has been revised to cover the changes to C++17. Author Marc Gregoire skims over the basics and dives right in to exploiting the full capabilities of C++17. Each feature is explained by example, each including actual code snippets that you can plug into your own applications. Case studies include extensive, working code that has been tested on Windows and Linux, and the book has expert tips, tricks, and workarounds.

<ASIN:1119421306>

The second edition of this hands-on book, with the subtitle, Mastering Data-Driven Finance, has been updated to Python 3. Author Dr. Yves Hilpisch helps you get started with the language, guiding developers and quantitative analysts through Python libraries and tools for building financial applications and interactive financial analytics. Using practical examples throughout the book, Hilpisch also shows you how to develop a full-fledged framework for Monte Carlo simulation-based derivatives and risk analytics, based on a large, realistic case study. Much of the book uses interactive IPython Notebooks.

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This book is a general introduction to machine learning that covers fundamental modern topics while providing the theoretical basis and conceptual tools needed for the discussion and justification of algorithms. It also describes several key aspects of the application of these algorithms. Authors Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar, and Francis Bachaim focuses on the analysis and theory of algorithms and present novel theoretical tools and concepts while giving concise proofs even for relatively advanced topics.

<ASIN:0262039400>

This book provides step-by-step instruction on modern 3D graphics shader programming in OpenGL with C++, along with its theoretical foundations. Author V. Scott Gordon uses a 4-color, “teach-yourself” format with numerous examples and detailed explanations. Every shader stage is explored, starting with the basics of modeling, lighting, textures, etc., up through advanced techniques such as tessellation, soft shadows, and generating realistic materials and environments. The book includes companion files with all of the source code, models, textures, skyboxes and normal maps used in the book.

<ASIN:1683922212>

This book introduces you to the tools for working with data. To start with, author Kaelen Medeiros shows how to set up R and RStudio, followed by info on R packages, functions, data structures, control flow, and loops. The book then moves on to cover data visualization and graphics, and how to build statistical and advanced plots using the ggplot2 library. In addition to this, data management concepts such as factoring, pivoting, aggregating, merging, and dealing with missing values are covered. The book then moves on to cover data visualization and graphics, and how to build statistical and advanced plots using the ggplot2 library. In addition to this, data management concepts such as factoring, pivoting, aggregating, merging, and dealing with missing values are covered.

<ASIN: 1789612993>

This book is about clearly understanding the concepts of Java as a language and then applying these concepts to develop applications. The first objective of author Mohammed Ashequr Rahman is to make the concepts of the Java language easy to understand. His second objective is to make it easy to write Java solutions to a programming problem and to make it easy to debug and correct code quickly. The third objective is to enable you to apply these concepts in learning another challenging language. The aim is that by the time you finish reading this book and practice the exercises, you will have mastered Java and ready to take on the next Java assignment.

<ASIN:1546271775>

Subtitled 'Developing Android 9 Apps Using Android Studio 3.2, Java and Android Jetpack', this edition has been fully updated for Android Studio 3.2, Android 9 and Android Jetpack. The goal of this book is to teach the skills necessary to develop Android-based applications using the Java programming language. Author Neil Smyth begins with the basics, providing an outline of the steps necessary to set up an Android development and testing environment..

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