MATLAB Machine Learning

Michael Paluszek, Stephanie Thomas

  • 出版商: Apress
  • 出版日期: 2016-12-29
  • 定價: $1,650
  • 售價: 6.0$990
  • 語言: 英文
  • 頁數: 326
  • 裝訂: Paperback
  • ISBN: 1484222490
  • ISBN-13: 9781484222492
  • 相關分類: MatlabMachine Learning
  • 相關翻譯: MATLAB 與機器學習 (簡中版)
  • 立即出貨(限量) (庫存=2)

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商品描述

This book is a comprehensive guide to machine learning with worked examples in MATLAB. It starts with an overview of the history of Artificial Intelligence and automatic control and how the field of machine learning grew from these. It provides descriptions of all major areas in machine learning.
 
The book reviews commercially available packages for machine learning and shows how they fit into the field. The book then shows how MATLAB can be used to solve machine learning problems and how MATLAB graphics can enhance the programmer’s understanding of the results and help users of their software grasp the results.
 
Machine Learning can be very mathematical. The mathematics for each area is introduced in a clear and concise form so that even casual readers can understand the math. Readers from all areas of engineering will see connections to what they know and will learn new technology.
 

The book then provides complete solutions in MATLAB for several important problems in machine learning including face identification, autonomous driving, and data classification. Full source code is provided for all of the examples and applications in the book.

 
 
What you'll learn:
  • An overview of the field of machine learning
  • Commercial and open source packages in MATLAB
  • How to use MATLAB for programming and building machine learning applications
  • MATLAB graphics for machine learning
  • Practical real world examples in MATLAB for major applications of machine learning in big data
 
 
Who is this book for:

 

The primary audiences are engineers and engineering students wanting a comprehensive and practical introduction to machine learning.

 

商品描述(中文翻譯)

這本書是一本以MATLAB為例的機器學習綜合指南,其中包含了實際範例。書籍首先概述了人工智慧和自動控制的歷史,以及機器學習是如何從這些領域發展而來的。書中提供了對機器學習的所有主要領域的描述。

書籍回顧了商業上可用的機器學習軟體包,並展示了它們如何適用於這個領域。接著,書籍展示了如何使用MATLAB來解決機器學習問題,以及如何利用MATLAB圖形來增強程式設計師對結果的理解,並幫助軟體使用者理解結果。

機器學習可能涉及到很多數學。書中以清晰簡潔的方式介紹了每個領域的數學,以便即使是非專業讀者也能理解。來自各個工程領域的讀者將會看到與他們所熟悉的知識之間的聯繫,並學習到新的技術。

接著,書中提供了MATLAB中解決機器學習中幾個重要問題的完整解決方案,包括人臉識別、自動駕駛和數據分類。書中提供了所有範例和應用的完整原始碼。

你將學到什麼:
- 機器學習領域的概述
- MATLAB中的商業和開源軟體包
- 如何使用MATLAB進行程式設計和構建機器學習應用
- 用於機器學習的MATLAB圖形
- 在大數據中機器學習的主要應用的MATLAB實際範例

這本書適合的讀者:
主要的讀者是工程師和工程學生,他們希望全面且實用地介紹機器學習。