Arnaldo Pérez Castaño

Practical Artificial Intelligence (eBook, PDF)

Machine Learning, Bots, and Agent Solutions Using C#

• Format: PDF

Produktbeschreibung

Discover how all levels Artificial Intelligence (AI) can be present in the most unimaginable scenarios of ordinary lives. This book explores 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.

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Produktdetails

• Verlag: Apress
• Seitenzahl: 690
• Erscheinungstermin: 23. Mai 2018
• Englisch
• ISBN-13: 9781484233573
• Artikelnr.: 52675358

Autorenporträt

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.

Inhaltsangabe

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: Game Programming.- Chapter 16: Game Theory - Adversarial Search & Othello Game.- Chapter 17: Reinforcement Learning.