书目名称 | MATLAB Machine Learning Recipes | 副标题 | A Problem-Solution A | 编辑 | Michael Paluszek,Stephanie Thomas | 视频video | | 概述 | Shows how to integrate machine learning with control systems.Comes with complete working MATLAB source code.Examples cover diverse topics such as pattern recognition, autonomous driving, and expert sy | 图书封面 |  | 描述 | Harness the power of MATLAB to resolve a wide range of machine learning challenges. This new and updated third edition provides examples of technologies critical to machine learning. Each example solves a real-world problem, and all code provided is executable. You can easily look up a particular problem and follow the steps in the solution..This book has something for everyone interested in machine learning. It also has material that will allow those with an interest in other technology areas to see how machine learning and MATLAB can help them solve problems in their areas of expertise. The chapter on data representation and MATLAB graphics includes new data types and additional graphics. Chapters on fuzzy logic, simple neural nets, and autonomous driving have new examples added. And there is a new chapter on spacecraft attitude determination using neural nets. Authors Michael Paluszek and Stephanie Thomas show how all of these technologies allow you to build sophisticated applications to solve problems with pattern recognition, autonomous driving, expert systems, and much more..What You Will Learn.Write code for machine learning, adaptive control, and estimation using MATLAB.Use | 出版日期 | Book 2024Latest edition | 关键词 | matlab; machine learning; ML; programming; code; numerical; algorithms; AI; artificial intelligence; kalman f | 版次 | 3 | doi | https://doi.org/10.1007/978-1-4842-9846-6 | isbn_softcover | 978-1-4842-9845-9 | isbn_ebook | 978-1-4842-9846-6 | copyright | Michael Paluszek and Stephanie Thomas 2024 |
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