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Practical artificial intelligence = ...

Perez Castano, Arnaldo.

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Practical artificial intelligence = machine learning, bots, and agent solutions using C# /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Practical artificial intelligence/ by Arnaldo Perez Castano.
Reminder of title:	machine learning, bots, and agent solutions using C# /
Author:	Perez Castano, Arnaldo.
Published:	Berkeley, CA :Apress : : 2018.,
Description:	xxi, 690 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Artificial intelligence. -
Online resource:	http://dx.doi.org/10.1007/978-1-4842-3357-3
ISBN:	9781484233573

Practical artificial intelligence = machine learning, bots, and agent solutions using C# /
Perez Castano, Arnaldo.

Practical artificial intelligencemachine learning, bots, and agent solutions using C# /[electronic resource] :by Arnaldo Perez Castano. - Berkeley, CA :Apress :2018. - xxi, 690 p. :ill., digital ;24 cm.

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.

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.

ISBN: 9781484233573

Standard No.: 10.1007/978-1-4842-3357-3doiSubjects--Topical Terms:

516317
Artificial intelligence.

LC Class. No.: Q335 / .P338 2018

Dewey Class. No.: 006.3

Practical artificial intelligence = machine learning, bots, and agent solutions using C# /
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300 $a xxi, 690 p. : $b ill., digital ; $c 24 cm.
505 0 $a 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.
520 $a 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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