Description: Hands-On Genetic Algorithms with Python by Eyal Wirsansky Estimated delivery 3-12 business days Format Paperback Condition Brand New Description Using this book, you will gain expertise in genetic algorithms, understand how they work and know when and how to use them to create intelligent Python-based applications. By the end of this book, you will have hands-on experience applying genetic algorithms to artificial intelligence as well as numerous other domains. Publisher Description Explore the ever-growing world of genetic algorithms to solve search, optimization, and AI-related tasks, and improve machine learning models using Python libraries such as DEAP, scikit-learn, and NumPyKey FeaturesExplore the ins and outs of genetic algorithms with this fast-paced guideImplement tasks such as feature selection, search optimization, and cluster analysis using PythonSolve combinatorial problems, optimize functions, and enhance the performance of artificial intelligence applicationsBook DescriptionGenetic algorithms are a family of search, optimization, and learning algorithms inspired by the principles of natural evolution. By imitating the evolutionary process, genetic algorithms can overcome hurdles encountered in traditional search algorithms and provide high-quality solutions for a variety of problems. This book will help you get to grips with a powerful yet simple approach to applying genetic algorithms to a wide range of tasks using Python, covering the latest developments in artificial intelligence.After introducing you to genetic algorithms and their principles of operation, youll understand how they differ from traditional algorithms and what types of problems they can solve. Youll then discover how they can be applied to search and optimization problems, such as planning, scheduling, gaming, and analytics. As you advance, youll also learn how to use genetic algorithms to improve your machine learning and deep learning models, solve reinforcement learning tasks, and perform image reconstruction. Finally, youll cover several related technologies that can open up new possibilities for future applications.By the end of this book, youll have hands-on experience of applying genetic algorithms in artificial intelligence as well as in numerous other domains.What you will learnUnderstand how to use state-of-the-art Python tools to create genetic algorithm-based applicationsUse genetic algorithms to optimize functions and solve planning and scheduling problemsEnhance the performance of machine learning models and optimize deep learning network architectureApply genetic algorithms to reinforcement learning tasks using OpenAI GymExplore how images can be reconstructed using a set of semi-transparent shapesDiscover other bio-inspired techniques, such as genetic programming and particle swarm optimizationWho this book is forThis book is for software developers, data scientists, and AI enthusiasts who want to use genetic algorithms to carry out intelligent tasks in their applications. Working knowledge of Python and basic knowledge of mathematics and computer science will help you get the most out of this book. Author Biography Eyal Wirsansky is a senior software engineer, a technology community leader, and an artificial intelligence enthusiast and researcher. Eyal started his software engineering career as a pioneer in the field of voice over IP, and he now has over 20 years experience of creating a variety of high-performing enterprise solutions. While in graduate school, he focused his research on genetic algorithms and neural networks. One outcome of his research is a novel supervised machine learning algorithm that combines the two. Eyal leads the Jacksonville (FL) Java user group, hosts the Artificial Intelligence for Enterprise virtual user group, and writes the developer-oriented artificial intelligence blog, ai4java. Details ISBN 1838557741 ISBN-13 9781838557744 Title Hands-On Genetic Algorithms with Python Author Eyal Wirsansky Format Paperback Year 2020 Pages 346 Publisher Packt Publishing Limited GE_Item_ID:126854879; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. 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Price: 63 USD
Location: Fairfield, Ohio
End Time: 2024-10-12T03:26:33.000Z
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ISBN-13: 9781838557744
Book Title: Hands-On Genetic Algorithms with Python
Number of Pages: 346 Pages
Language: English
Publication Name: Hands-On Genetic Algorithms with Python : Applying Genetic Algorithms to Solve Real-World Deep Learning and Artificial Intelligence Problems
Publisher: Packt Publishing, The Limited
Subject: Machine Theory, Intelligence (Ai) & Semantics, Computer Simulation
Publication Year: 2020
Type: Textbook
Item Length: 3.6 in
Subject Area: Computers
Author: Eyal Wirsansky
Item Width: 3 in
Format: Trade Paperback
