MATLAB Machine Learning Recipes A Problem-Solution Approach /

• Main Authors: Paluszek, Michael (Author, http://id.loc.gov/vocabulary/relators/aut), Thomas, Stephanie (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berkeley, CA : Apress : Imprint: Apress, 2019.
• Edition: 2nd ed. 2019.
• Subjects: Artificial intelligence.; Big data.; Artificial Intelligence.; Big Data.

Harness the power of MATLAB to resolve a wide range of machine learning challenges. This book provides a series of examples of technologies critical to machine learning. Each example solves a real-world problem. All code in MATLAB Machine Learning Recipes: A Problem-Solution Approach is executable....

Table of Contents:

• 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 Nets
• 10 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: A Brief History of Autonomous Learning
• Appendix B: Software for Machine Learning.