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Viser: Practical Artificial Intelligence - Machine Learning, Bots, and Agent Solutions Using C#
Practical Artificial Intelligence Vital Source e-bog
Arnaldo Pérez Castaño
(2018)
Practical Artificial Intelligence
Machine Learning, Bots, and Agent Solutions Using C#
Arnaldo Pérez Castaño
(2018)
Sprog: Engelsk
Detaljer om varen
- Vital Source searchable e-book (Reflowable pages)
- Udgiver: Springer Nature (Maj 2018)
- ISBN: 9781484233573
Bookshelf online: 5 år fra købsdato.
Bookshelf appen: ubegrænset dage fra købsdato.
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Print: 2 sider kan printes ad gangen
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Detaljer om varen
- Paperback
- Udgiver: Apress L. P. (Maj 2018)
- ISBN: 9781484233566
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.
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