FREE EBOOK - Game Hacking Academy
by Attilathedud
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...
Publisher: Self-publishing | Release: 2021
Deep Learning with Swift for TensorFlow 
by Rahul Bhalley
Discover more insight about deep learning algorithms with Swift for TensorFlow. The Swift language was designed by Apple for optimized performance and development whereas TensorFlow library was designed by Google for advanced machine learning research. Swift for TensorFlow is a combination of both with support for modern hardware accelerators and more. This book covers the deep learning concepts from fundam...
Price: $39.13 | Publisher: Apress | Release: 2021
Deep Reinforcement Learning in Unity 
by Abhilash Majumder
Gain an in-depth overview of reinforcement learning for autonomous agents in game development with Unity.This book starts with an introduction to state-based reinforcement learning algorithms involving Markov models, Bellman equations, and writing custom C# code with the aim of contrasting value and policy-based functions in reinforcement learning. Then, you will move on to path finding and navigation meshe...
Price: $49.42 | Publisher: Apress | Release: 2021
Blockchain Enabled Applications, 2nd Edition
by Vikram Dhillon, David Metcalf, Max Hooper
Learn all about blockchain and its applications in cryptocurrency, healthcare, Internet of Things, finance, decentralized organizations, and more. Featuring case studies and practical insights, this book covers a unique mix of topics and offers insight into how to overcome hurdles that arise as the market and consumers grow accustomed to blockchain-based organizations and services.The book is divided into t...
Price: $34.55 | Publisher: Apress | Release: 2021
Beginning Mathematica and Wolfram for Data Science
by Jalil Villalobos Alva
Enhance your data science programming and analysis with the Wolfram programming language and Mathematica, an applied mathematical tools suite. The book will introduce you to the Wolfram programming language and its syntax, as well as the structure of Mathematica and its advantages and disadvantages.You'll see how to use the Wolfram language for data science from a theoretical and practical perspective....
Price: $36.17 | Publisher: Apress | Release: 2021
TensorFlow 2.x in the Colaboratory Cloud
by David Paper
Use TensorFlow 2.x with Google's Colaboratory (Colab) product that offers a free cloud service for Python programmers. Colab is especially well suited as a platform for TensorFlow 2.x deep learning applications. You will learn Colab's default install of the most current TensorFlow 2.x along with Colab's easy access to on-demand GPU hardware acceleration in the cloud for fast execution of deep...
Price: $40.26 | Publisher: Apress | Release: 2021
by Tshepo Chris Nokeri
Get insight into data science techniques such as data engineering and visualization, statistical modeling, machine learning, and deep learning. This book teaches you how to select variables, optimize hyper parameters, develop pipelines, and train, test, and validate machine and deep learning models. Each chapter includes a set of examples allowing you to understand the concepts, assumptions, and procedures ...
Price: $39.99 | Publisher: Apress | Release: 2021
AI for Healthcare with Keras and Tensorflow 2.0
by Anshik Bansal
Learn how AI impacts the healthcare ecosystem through real-life case studies with TensorFlow 2.0 and other machine learning (ML) libraries.This book begins by explaining the dynamics of the healthcare market, including the role of stakeholders such as healthcare professionals, patients, and payers. Then it moves into the case studies. The case studies start with EHR data and how you can account for sub-popu...
Price: $36.74 | Publisher: Apress | Release: 2021
Quantum Machine Learning: An Applied Approach
by Santanu Ganguly
Know how to adapt quantum computing and machine learning algorithms. This book takes you on a journey into hands-on quantum machine learning (QML) through various options available in industry and research.The first three chapters offer insights into the combination of the science of quantum mechanics and the techniques of machine learning, where concepts of classical information technology meet the power o...
Price: $48.75 | Publisher: Apress | Release: 2021
Advanced Forecasting with Python
by Joos Korstanje
Cover all the machine learning techniques relevant for forecasting problems, ranging from univariate and multivariate time series to supervised learning, to state-of-the-art deep forecasting models such as LSTMs, recurrent neural networks, Facebook's open-source Prophet model, and Amazon's DeepAR model.Rather than focus on a specific set of models, this book presents an exhaustive overview of all ...
Price: $33.99 | Publisher: Apress | Release: 2021