Overview

Discover how all levels Artificial Intelligence (AI) can be present in the most unimaginable scenarios of ordinary lives. This book explores subjects such as neural networks, agents, multi agent systems, supervised learning, and unsupervised learning. These and other topics will be addressed with real world examples, so you can learn fundamental concepts with AI solutions and apply them to your own projects. People tend to talk about AI as something mystical and unrelated to their ordinary life. Practical Artificial Intelligence provides simple explanations and hands on instructions. Rather than focusing on theory and overly scientific language, this book will enable practitioners of all levels to not only learn about AI but implement its practical uses. What You’ll Learn Understand agents and multi agents and how they are incorporated Relate machine learning to real-world problems and see what it means to you Apply supervised and unsupervised learning techniques and methods in the real world Implement reinforcement learning, game programming, simulation, and neural networks Who This Book Is For Computer science students, professionals, and hobbyists interested in AI and its applications. 

Full Product Details

Author:   Arnaldo Pérez Castaño
Publisher:   APress
Imprint:   APress
Edition:   1st ed.
Weight:   1.074kg
ISBN:  

9781484233566

ISBN 10:   1484233565
Pages:   690
Publication Date:   24 May 2018
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Practical Artificial Intelligence Chapter 1: Logic & AI Chapter 2: Automated Theorem Proving & First Order Logic Chapter 3: Agents Chapter 4: Mars Rover Chapter 5: Multi-Agent Systems Chapter 6: Communication in a Multi-Agent System using WCF Chapter 7: Cleaning Agents: A multi-Agent System Problem Chapter 8: Simulation Chapter 9: Support Vector Machines Chapter 10: Decision Trees Chapter 11: Neural Networks Chapter 12: Handwritten Digit Recognition Chapter 13: Clustering & Multi-Objective Clustering Chapter 14: Metaheuristics Chapter 15: Vines & Copulas Chapter 16: Game Programming Chapter 17: Sliding Tiles Puzzle & Othello Game Chapter 18: Reinforcement Learning

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Author Information

Arnaldo Pérez Castaño is a computer scientist based in Cuba. He’s the author of PrestaShop Recipes (Apress, 2017) and a series of programming books—JavaScript Fácil, HTML y CSS Fácil, and Python Fácil (Marcombo S.A.)—and writes AI related articles for MSDN Magazine, VisualStudioMagazine.com, and Smashing Magazine. He is one of the co-founders of Havana Digital Enterprises and the creator of their first websites, http://www.havanaclassiccartour.com and www.havanadanceclass.com. His expertise includes Visual Basic, C#, .NET Framework and Artificial Intelligence.  Arnaldo offers his services through freelancer.com and served as reviewer for the Journal of Mathematical Modelling and Algorithms in Operations Research. Cinema and music are some of his passions.

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