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1 Overview
2 Data Representation
3 MATLAB Graphics
4 Kalman Filters
5 Adaptive Control
6 Fuzzy Logic
7 Data Classification with Decision Trees
8 Simple Neural Nets
9 Classification with Neural Nets10 Neural Nets with Deep Learning
11 Neural Aircraft Control
12 Multiple Hypothesis Testing
13 Autonomous Driving with MHT
14 Case-Based Expert Systems
Appendix A Brief History of Autonomous Learning
Appendix Software for Machine Learning
368 pages, Paperback
Published February 1, 2019