Table of Contents for
MATLAB Machine Learning Recipes: A Problem-Solution Approach

Version ebook / Retour

Cover image for bash Cookbook, 2nd Edition MATLAB Machine Learning Recipes: A Problem-Solution Approach by Stephanie Thomas Published by Apress, 2019
  1. Navigation
  2. Cover
  3. Front Matter
  4. 1. An Overview of Machine Learning
  5. 2. Representation of Data for Machine Learning in MATLAB
  6. 3. MATLAB Graphics
  7. 4. Kalman Filters
  8. 5. Adaptive Control
  9. 6. Fuzzy Logic
  10. 7. Data Classification with Decision Trees
  11. 8. Introduction to Neural Nets
  12. 9. Classification of Numbers Using Neural Networks
  13. 10. Pattern Recognition with Deep Learning
  14. 11. Neural Aircraft Control
  15. 12. Multiple Hypothesis Testing
  16. 13. Autonomous Driving with Multiple Hypothesis Testing
  17. 14. Case-Based Expert Systems
  18. Back Matter

Contents

  1. Cover
  2. Front Matter
  3. 1. An Overview of Machine Learning
  4. 2. Representation of Data for Machine Learning in MATLAB
  5. 3. MATLAB Graphics
  6. 4. Kalman Filters
  7. 5. Adaptive Control
  8. 6. Fuzzy Logic
  9. 7. Data Classification with Decision Trees
  10. 8. Introduction to Neural Nets
  11. 9. Classification of Numbers Using Neural Networks
  12. 10. Pattern Recognition with Deep Learning
  13. 11. Neural Aircraft Control
  14. 12. Multiple Hypothesis Testing
  15. 13. Autonomous Driving with Multiple Hypothesis Testing
  16. 14. Case-Based Expert Systems
  17. Back Matter

Landmarks

  1. Cover
  2. Table of Contents
  3. Body Matter
Back to top