Limited Time Offer: Only $15 for the First 10 Buyers – Regular Price $25!
This textbook presents basic knowledge and essential toolsets needed for people who want to step into artificial intelligence (AI). The book is especially suitable for those college students, graduate students, instructors, and IT hobbyists who have an engineering mindset. That is, it serves the idea of getting the job done quickly and neatly with an adequate understanding of why and how. It is designed to allow one to obtain a big picture for both AI and essential AI topics within the shortest amount of time.
Table of contents (15 chapters)
Front Matter
Pages i-xiii
Preparation Knowledge: Basics of AI
Zhen “Leo” Liu
Pages 1-43
Tools for Artificial Intelligence
Zhen “Leo” Liu
Pages 45-93
Linear Models
Zhen “Leo” Liu
Pages 95-114
Decision Trees
Zhen “Leo” Liu
Pages 115-128
Support Vector Machines
Zhen “Leo” Liu
Pages 129-140
Bayesian Algorithms
Zhen “Leo” Liu
Pages 141-173
Artificial Neural Networks
Zhen “Leo” Liu
Pages 175-190
Deep Learning
Zhen “Leo” Liu
Pages 191-220
Ensemble Learning
Zhen “Leo” Liu
Pages 221-242
Clustering
Zhen “Leo” Liu
Pages 243-269
Dimension Reduction
Zhen “Leo” Liu
Pages 271-291
Anomaly Detection
Zhen “Leo” Liu
Pages 293-316
Association Rule Learning
Zhen “Leo” Liu
Pages 317-335
Value-Based Reinforcement Learning
Zhen “Leo” Liu
Pages 337-355
Policy-Based Reinforcement Learning
Zhen “Leo” Liu
Pages 357-378
Back Matter
Pages 379-439
