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Arnaldo Pérez Casta¤o

Practical Artificial Intelligence


Machine Learning, Bots, and Agent Solutions Using C#
1st ed. 2018. xxi, 690 S. 163 SW-Abb. 235 mm
Verlag/Jahr: SPRINGER, BERLIN; APRESS 2018
ISBN: 1-484-23356-5 (1484233565)
Neue ISBN: 978-1-484-23356-6 (9781484233566)

Preis und Lieferzeit: Bitte klicken


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.
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
Arnaldo Pérez Casta¤o 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.