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The Essential Guide to HTML5, 3rd Edition
The Essential Guide to HTML5, 3rd Edition

Gain a deep, practical knowledge of the basic tools used for webpages: hypertext markup language (HTML5), cascading style sheets (CSS), and JavaScript. This updated version includes new and improved games and exercises, and will serve total beginners as well as people with some programming language experience, but not familiar with the combination of HTML, CSS, and JavaScript. You'll begin at an introductory level with the focus on technical features as well as programming techniques. Each chapter features a familiar game such as Rock-Paper-Scissors, Craps, Memory, and Blackjack or generic examples such as working with Mazes. Other projects include constructing and saving a maze; a basic word guessing game; ballistic games (Cannonball and Slingshot); a quiz requiring items to be put in order; and an animation demonstration featuring a ball, photo or video clip bouncing within a rectangle. The Appendix contains examples of advanced techniques such as Scalar Vector Graphics progra ...
Game Hacking Academy
Game Hacking Academy

Hacking games requires a unique combination of reversing, memory management, networking, and security skills. Even as ethical hacking has exploded in popularity, game hacking still occupies a very small niche in the wider security community. While it may not have the same headline appeal as a Chrome 0day or a massive data leak, the unique feeling of creating a working aimbot for a game and then destroying a server with it is hard to replicate in any other medium. When I first started learning game hacking years ago, resources were spread out across several sites and were very sparse. Typically, you would find a section of code that linked to a broken site. You would then search around for some forum that would have some part of the broken site in a post and piece together the information. While this rewarded thorough searching, it was a massive time-sink. These days, there are several places where you can find a variety of information regarding game hacking. You can find boilerplate ...
The Big Book of Machine Learning Use Cases
The Big Book of Machine Learning Use Cases

The world of machine learning is evolving so quickly that it's challenging to find real-life use cases that are relevant to your day-to-day work. That's why we've created this comprehensive guide you can start using right away. Get everything you need - use cases, code samples and notebooks - so you can start putting the Databricks Lakehouse Platform to work today. Plus, you'll get case studies from leading companies like Comcast, Regeneron and Nationwide. Learn how to: - Use dynamic time warping and MLflow to detect sales trends series; - Perform multivariate time series forecasting with recurrent neural networks; - Access new product capabilities with demos; - Detect financial fraud at scale with decision trees and MLflow on Databricks. ...
Fluent C
Fluent C

Expert advice on C programming is hard to find. While much help is available for object-oriented programming languages, there's surprisingly little for the C language. With this hands-on guide, beginners and experienced C programmers alike will find guidance about design decisions, including how to apply them bit by bit to running code examples when building large-scale programs. Christopher Preschern, a leading member of the design patterns community, answers questions such as how to structure C programs, cope with error handling, or design flexible interfaces. Whether you're looking for one particular pattern or an overview of design options for a specific topic, this book shows you how to implement hands-on design knowledge specifically for the C programming language. ...
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 3rd Edition
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 3rd Edition

Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) to help you gain an intuitive understanding of the concepts and tools for building intelligent systems. With this updated third edition, author Aurelien Geron explores a range of techniques, starting with simple linear regression and progressing to deep neural networks. Numerous code examples and exercises throughout the book help you apply what you've learned. Programming experience is all you need to get started. ...
Elixir Succinctly
Elixir Succinctly

Author Emanuele DelBono guides readers along the first steps of mastering the Elixir programming language in Elixir Succinctly. Providing a brief overview of Elixir's history and purpose and clear instructions to create an app with Elixir, DelBono makes it easy for developers who wish to add a new language to their repertoire. ...
Deep Learning for Natural Language Processing
Deep Learning for Natural Language Processing

Deep learning has advanced natural language processing to exciting new levels and powerful new applications! For the first time, computer systems can achieve "human" levels of summarizing, making connections, and other tasks that require comprehension and context. Deep Learning for Natural Language Processing reveals the groundbreaking techniques that make these innovations possible. Stephan Raaijmakers distills his extensive knowledge into useful best practices, real-world applications, and the inner workings of top NLP algorithms. Deep learning has transformed the field of natural language processing. Neural networks recognize not just words and phrases, but also patterns. Models infer meaning from context, and determine emotional tone. Powerful deep learning-based NLP models open up a goldmine of potential uses. Deep Learning for Natural Language Processing teaches you how to create advanced NLP applications using Python and the Keras deep learning library. You'll learn to use ...
Getting Started with Natural Language Processing
Getting Started with Natural Language Processing

Getting Started with Natural Language Processing is an enjoyable and understandable guide that helps you engineer your first NLP algorithms. Your tutor is Dr. Ekaterina Kochmar, lecturer at the University of Bath, who has helped thousands of students take their first steps with NLP. Full of Python code and hands-on projects, each chapter provides a concrete example with practical techniques that you can put into practice right away. If you're a beginner to NLP and want to upgrade your applications with functions and features like information extraction, user profiling, and automatic topic labeling, this is the book for you. From smart speakers to customer service chatbots, apps that understand text and speech are everywhere. Natural language processing, or NLP, is the key to this powerful form of human/computer interaction. And a new generation of tools and techniques make it easier than ever to get started with NLP! Getting Started with Natural Language Processing teaches you ho ...
Learning Twitter Bootstrap
Learning Twitter Bootstrap

Bootstrap is a HTML, CSS, and JavaScript framework used to create websites that are created using a mobile-first paradigm as well as responsive web design (RWD). It uses a combination of premade CSS classes and JavaScript to make a variety of things on the web. It includes things such as a custom, responsive grid that allows websites to be viewed in on any screen, a dropdown navbar that is capable of being responsive and even simple things that can be time intensive such as premade buttons, forms and accordions to name a few. It is an unofficial and free Twitter Bootstrap book created for educational purposes. All the content is extracted from Stack Overflow Documentation, which is written by many hardworking individuals at Stack Overflow. ...
Mathematics for Game Programming and Computer Graphics
Mathematics for Game Programming and Computer Graphics

Mathematics is an essential skill when it comes to graphics and game development, particularly if you want to understand the generation of real-time computer graphics and the manipulation of objects and environments in a detailed way. Python, together with Pygame and PyOpenGL, provides you with the opportunity to explore these features under the hood, revealing how computers generate and manipulate 3D environments. Mathematics for Game Programming and Computer Graphics is an exhaustive guide to getting "back to the basics" of mathematics, using a series of problem-based, practical exercises to explore ideas around drawing graphic lines and shapes, applying vectors and vertices, constructing and rendering meshes, and working with vertex shaders. By leveraging Python, Pygame, and PyOpenGL, you'll be able to create your own mathematics-based engine and API that will be used throughout to build applications. By the end of this graphics focussed book, you'll have gained a thorough und ...
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