Practical Artificial Intelligence: Machine Learning, Bots, and Agent Solutions Using C#

Practical Artificial Intelligence: Machine Learning, Bots, and Agent Solutions Using C#9781484233566

Practical Artificial Intelligence: Machine Learning, Bots, and Agent Solutions Using C#

By 作者: Arnaldo Pérez Castaño
ISBN-10 书号: 1484233565
ISBN-13 书号: 9781484233566
Edition 版本: 1st ed.
Release Finelybook 出版日期: 2018-07-12
Pages 页数: 690

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
How machine learning relates to real world problems and 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.
Cover
Frontmatter
1.Logic&Al
2.Automated Theorem Proving &First-Order Logic
3.Agents
4.Mars Rover
5.Multi-Agent Systems
6.Communication in a Multi-Agent System Using WCF
7.Cleaning Agents:A Multi-Agent System Problem
8.Simulation
9.Support Vector Machines
10.Decision Trees
11.Neural Networks
12.Handwritten Digit Recognition
13.Clustering & Multi-objective Clustering
14.Heuristics & Metaheuristics
15.Game Programming
16.Game Theory:Adversarial Search & Othello Game
17.Reinforcement Learning


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