| 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 | Utilizes real world examples in MATLAB for major applications of machine learning in big data.Comes with complete working MATLAB source code.Shows how to use MATLAB graphics and visualization tools fo | | 图书封面 |  | | 描述 | 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. .Who is this book for:. The primary audiences are engineers, data scientists and students wanting a comprehensive and code cookbook rich in examples | | 出版日期 | Book 20192nd edition | | 关键词 | matlab; machine learning; ML; programming; code; numerical; algorithms; AI; artificial intelligence; kalman f | | 版次 | 2 | | doi | https://doi.org/10.1007/978-1-4842-3916-2 | | isbn_ebook | 978-1-4842-3916-2 | | copyright | Michael Paluszek and Stephanie Thomas 2019 |
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发表于 2025-3-21 19:01:20
