Paluszek, Michael
MATLAB Machine Learning
Part I. Introduction to Machine Learning
1. An Overview of Machine Learning
Michael Paluszek, Stephanie Thomas
2. The History of Autonomous Learning
Michael Paluszek, Stephanie Thomas
3. Software for Machine Learning
Michael Paluszek, Stephanie Thomas
Part II. MATLAB Recipes for Machine Learning
4. Representation of Data for Machine Learning in MATLAB
Michael Paluszek, Stephanie Thomas
5. MATLAB Graphics
Michael Paluszek, Stephanie Thomas
6. Machine Learning Examples in MATLAB
Michael Paluszek, Stephanie Thomas
7. Face Recognition with Deep Learning
Michael Paluszek, Stephanie Thomas
8. Data Classification
Michael Paluszek, Stephanie Thomas
9. Classification of Numbers Using Neural Networks
Michael Paluszek, Stephanie Thomas
10. Kalman Filters
Michael Paluszek, Stephanie Thomas
11. Adaptive Control
Michael Paluszek, Stephanie Thomas
12. Autonomous Driving
Michael Paluszek, Stephanie Thomas
Keywords: Computer Science, Computing Methodologies, Programming Languages, Compilers, Interpreters, Programming Techniques
- Author(s)
- Paluszek, Michael
- Thomas, Stephanie
- Publisher
- Springer
- Publication year
- 2017
- Language
- en
- Edition
- 1
- Page amount
- 19 pages
- Category
- Information Technology, Telecommunications
- Format
- Ebook
- eISBN (PDF)
- 9781484222508
- Printed ISBN
- 978-1-4842-2249-2