Book description
- 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
Table of contents
- Cover
- Front Matter
- 1. Logic & AI
- 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
- Back Matter
Product information
- Title: Practical Artificial Intelligence: Machine Learning, Bots, and Agent Solutions Using C#
- Author(s):
- Release date: May 2018
- Publisher(s): Apress
- ISBN: 9781484233573
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