MATLAB Machine Learning Recipes: A Problem-Solution Approach
Authors: Michael Paluszek
ISBN-10: 1484239156
ISBN-13: 9781484239155
Edition 版次: 2nd ed.
Publication Date 出版日期: 2019-02-01
Print Length 页数: 368 pages
Book Description
By finelybook
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. The toolbox that the code uses provides a complete set of functions needed to implement all aspects of machine learning. Authors Michael Paluszek and Stephanie Thomas show how all of these technologies allow the reader to build sophisticated applications to solve problems with pattern recognition,autonomous driving,expert systems,and much more.
What you’ll learn:
How to write code for machine learning,adaptive control and estimation using MATLAB
How these three areas complement each other
How these three areas are needed for robust machine learning applications
How to use MATLAB graphics and visualization tools for machine learning
How to code real world examples in MATLAB for major applications of machine learning in big data
