SC - 1354 | Genetic Algorithms with Python

Clinton Sheppard

Get a hands-on introduction to machine learning with genetic algorithms using Python. Step-by-step tutorials build your skills from Hello World! to optimizing one genetic algorithm with another, and finally genetic programming; thus preparing you to apply genetic algorithms to problems in your own field of expertise.

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SC - 1351 | Linux Command Line and Shell Scripting Bible

Richard Blum, Christine Bresnahan

Talk directly to your system for a faster workflow with automation capability

Linux Command Line and Shell Scripting Bible is your essential Linux guide. With detailed instruction and abundant examples, this book teaches you how to bypass the graphical interface and communicate directly with your computer, saving time and expanding capability.

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SC - 1348 | Data Analysis From Scratch With Python: Beginner Guide using Python, Pandas, NumPy, Scikit-Learn, IPython, TensorFlow and Matplotlib

Peters Morgan

Are you thinking of becoming a data analyst using Python? If you are looking for a complete guide to data analysis using Python language and its library that will help you to become an effective data scientist, this book is for you.
From AI Sciences Publisher Our books may be the best one for beginners; it's a step-by-step guide for any person who wants to start learning Artificial Intelligence and Data Science from scratch. It will help you in preparing a solid foundation and learn any other high-level courses.

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SC - 1338 | Developing 2D Games with Unity: Independent Game Programming with C#

Jared Halpern

Follow a walkthrough of the Unity Engine and learn important 2D-centric lessons in scripting, working with image assets, animations, cameras, collision detection, and state management. In addition to the fundamentals, you'll learn best practices, helpful game-architectural patterns, and how to customize Unity to suit your needs, all in the context of building a working 2D game.

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SC - 1337 | Game Design Workshop

Tracy Fullerton

Discover an exercise-driven, non-technical approach to game design, without the need for programming or artistic expertise with Game Design Workshop, Fourth Edition.

Game Design Workshop is a truly great book, and has become the de facto standard text for beginner- to intermediate-level game design education. This updated new edition is extremely relevant, useful and inspiring to all kinds of game designers.　

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SC - 1336 | Practical Video Game Bots: Automating Game Processes using C++, Python, and AutoIt

Ilya Shpigor

Develop and use bots in video gaming to automate game processes and see possible ways to avoid this kind of automation. This book explains how bots can be very helpful in games such as multiplayer online games, both for training your character and for automating repetitious game processes in order to start a competition with human opponents much faster.

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SC - 1335 | Game Programming Patterns

Robert Nystrom

The biggest challenge facing many game programmers is completing their game. Most game projects fizzle out, overwhelmed by the complexity of their own code. Game Programming Patterns tackles that exact problem. Based on years of experience in shipped AAA titles, this book collects proven patterns to untangle and optimize your game, organized as independent recipes so you can pick just the patterns you need.

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SC - 1334 | Python, Pygame, and Raspberry Pi Game Development

Sloan Kelly

Expand your basic knowledge of Python and use PyGame to create fast-paced video games with great graphics and sounds. This second edition shows how you can integrate electronic components with your games using the build-in general purpose input/output (GPIO) pins and some Python code to create two new games.

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SC - 1333 | Applied Text Analysis with Python: Enabling Language-Aware Data Products with Machine Learning

Benjamin Bengfort, Tony Ojeda, Rebecca Bilbro

From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data sources. The key to unlocking natural language is through the creative application of text analytics. This practical book presents a data scientist’s approach to building language-aware products with applied machine learning.

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SC - 1332 | Python Data Analytics: With Pandas, NumPy, and Matplotlib

Fabio Nelli

Explore the latest Python tools and techniques to help you tackle the world of data acquisition and analysis. You'll review scientific computing with NumPy, visualization with matplotlib, and machine learning with scikit-learn.

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SC - 1331 | Machine Learning For Dummies

John Paul Mueller, Luca Massaron

Machine learning can be a mind-boggling concept for the masses, but those who are in the trenches of computer programming know just how invaluable it is. Without machine learning, fraud detection, web search results, real-time ads on web pages, credit scoring, automation, and email spam filtering wouldnt be possible, and this is only showcasing just a few of its capabilities. Written by two data science experts, Machine Learning For Dummies offers a much-needed entry point for anyone looking to use machine learning to accomplish practical tasks.

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SC - 1330 | Grokking Deep Learning

Andrew W. Trask

Artificial Intelligence is the most exciting technology of the century, and Deep Learning is, quite literally, the "brain" behind the world's smartest Artificial Intelligence systems out there.

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SC - 1329 | Practical Computer Vision Applications Using Deep Learning with CNNs: With Detailed Examples in Python Using TensorFlow and Kivy

Ahmed Fawzy Gad

Deploy deep learning applications into production across multiple platforms. You will work on computer vision applications that use the convolutional neural network (CNN) deep learning model and Python. This book starts by explaining the traditional machine-learning pipeline, where you will analyze an image dataset. Along the way you will cover artificial neural networks (ANNs), building one from scratch in Python, before optimizing it using genetic algorithms.

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SC - 1328 | Advanced Penetration Testing. Hacking the World’s Most Secure Networks

Wil Allsopp

Build a better defense against motivated, organized, professional attacks.

Advanced Penetration Testing: Hacking the World's Most Secure Networks takes hacking far beyond Kali Linux and Metasploit to provide a more complex attack simulation.
Featuring techniques not taught in any certification prep or covered by common defensive scanners, this book integrates social engineering, programming, and vulnerability exploits into a multidisciplinary approach for targeting and compromising high security environments.

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SC - 1327 | Machine Learning Applications Using Python: Cases Studies from Healthcare, Retail, and Finance

Puneet Mathur

Gain practical skills in machine learning for finance, healthcare, and retail. This book uses a hands-on approach by providing case studies from each of these domains: you’ll see examples that demonstrate how to use machine learning as a tool for business enhancement. As a domain expert, you will not only discover how machine learning is used in finance, healthcare, and retail, but also work through practical case studies where machine learning has been implemented.

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SC - 1326 | Artificial Intelligence: With an Introduction to Machine Learning

Richard E. Neapolitan, Xia Jiang

The first edition of this popular textbook, Contemporary Artificial Intelligence, provided an accessible and student friendly introduction to AI. This fully revised and expanded update, Artificial Intelligence: With an Introduction to Machine Learning, Second Edition, retains the same accessibility and problem-solving approach, while providing new material and methods.

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SC - 1325 | Playing Smart: On Games, Intelligence, and Artificial Intelligence

Julian Togelius

A new vision of the future of games and game design, enabled by AI.Can games measure intelligence? How will artificial intelligence inform games of the future? In Playing Smart, Julian Togelius explores the connections between games and intelligence to offer a new vision of future games and game design. Video games already depend on AI. We use games to test AI algorithms, challenge our thinking, and better understand both natural and artificial intelligence. In the future, Togelius argues, game designers will be able to create smarter games that make us smarter in turn, applying advanced AI to help design games. In this book, he tells us how.

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SC - 1324 | ReCombinatorics: The Algorithmics of Ancestral Recombination Graphs and Explicit Phylogenetic Networks

Dan Gusfield

In this book, Dan Gusfield examines combinatorial algorithms to construct genealogical and exact phylogenetic networks, particularly ancestral recombination graphs (ARGs). The algorithms produce networks (or information about networks) that serve as hypotheses about the true genealogical history of observed biological sequences and can be applied to practical biological problems.

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SC - 1323 | Neural Networks A Visual Introduction for Beginners by Michael Taylor

Michael Taylor

A step-by-step visual journey through the mathematics of neural networks, and making your own using Python and Tensorflow.

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SC - 1322 | Thoughtful Machine Learning with Python: A Test-Driven Approach

Matthew Kirk

Gain the confidence you need to apply machine learning in your daily work. With this practical guide, author Matthew Kirk shows you how to integrate and test machine learning algorithms in your code, without the academic subtext.

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