Practical Artificial Intelligence
Machine Learning, Bots, and Agent Solutions Using C#
(Sprache: Englisch)
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...
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Klappentext zu „Practical Artificial Intelligence “
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
Computer science students, professionals, and hobbyists interested in AI and its applications.
Inhaltsverzeichnis zu „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: Game Programming.- Chapter 16: Game Theory - Adversarial Search & Othello Game.- Chapter 17: Reinforcement Learning.
Autoren-Porträt von Arnaldo Pérez Castaño
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.
Bibliographische Angaben
- Autor: Arnaldo Pérez Castaño
- 2018, 1st ed., XXI, 690 Seiten, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 1484233565
- ISBN-13: 9781484233566
- Erscheinungsdatum: 24.05.2018
Sprache:
Englisch
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