MATLAB machine learning recipes: a problem-solution approach
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....
Gespeichert in:
| Beteiligte Personen: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
New York
Apress
[2019]
|
| Ausgabe: | Second edition. |
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781484239162/?ar |
| Zusammenfassung: | 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. You will: Learn to write code for machine learning, adaptive control and estimation using MATLAB See how these three areas complement each other Understand why these three areas are needed for robust machine learning applications Use MATLAB graphics and visualization tools for machine learning Code real world examples in MATLAB for major applications of machine learning in big data. |
| Beschreibung: | Includes bibliographical references and index. - Vendor-supplied metadata |
| Umfang: | 1 Online-Ressource illustrations |
| ISBN: | 9781484239162 1484239164 1484252411 |
Internformat
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| spelling | Paluszek, Michael VerfasserIn aut MATLAB machine learning recipes a problem-solution approach Michael Paluszek and Stephanie Thomas Second edition. New York Apress [2019] ©2019 1 Online-Ressource illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references and index. - Vendor-supplied metadata 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. You will: Learn to write code for machine learning, adaptive control and estimation using MATLAB See how these three areas complement each other Understand why these three areas are needed for robust machine learning applications Use MATLAB graphics and visualization tools for machine learning Code real world examples in MATLAB for major applications of machine learning in big data. MATLAB Machine learning Apprentissage automatique COMPUTERS ; General Thomas, Stephanie VerfasserIn aut 9781484239155 Erscheint auch als Druck-Ausgabe 9781484239155 |
| spellingShingle | Paluszek, Michael Thomas, Stephanie MATLAB machine learning recipes a problem-solution approach MATLAB Machine learning Apprentissage automatique COMPUTERS ; General |
| title | MATLAB machine learning recipes a problem-solution approach |
| title_auth | MATLAB machine learning recipes a problem-solution approach |
| title_exact_search | MATLAB machine learning recipes a problem-solution approach |
| title_full | MATLAB machine learning recipes a problem-solution approach Michael Paluszek and Stephanie Thomas |
| title_fullStr | MATLAB machine learning recipes a problem-solution approach Michael Paluszek and Stephanie Thomas |
| title_full_unstemmed | MATLAB machine learning recipes a problem-solution approach Michael Paluszek and Stephanie Thomas |
| title_short | MATLAB machine learning recipes |
| title_sort | matlab machine learning recipes a problem solution approach |
| title_sub | a problem-solution approach |
| topic | MATLAB Machine learning Apprentissage automatique COMPUTERS ; General |
| topic_facet | MATLAB Machine learning Apprentissage automatique COMPUTERS ; General |
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