Machine learning : algorithms and applications / Mohssen Mohammed, Muhammad Badruddin Khan, Eihab Bashier Mohammed Bashier.
Florida : CRC Press, Taylor & Francis Group, c2017Description: xxii, 204 pages, 8 unnumbered pages of plates : illustrations (black and white) ; 24 cmContent type:- text
- unmediated
- volume
- 9781498705387
- 006.31 .M697 2017
- Q325.5 .M63 2017
| Item type | Current library | Call number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|
| Print Materials | Main Library General Circulation | 006.31 .M697 2017 (Browse shelf(Opens below)) | Available | 0119554 |
Browsing Main Library shelves, Shelving location: General Circulation Close shelf browser (Hides shelf browser)
| 006.31 .Al456 2021 Machine learning / | 006.31 .F981 2018 Fundamentals of machine learning / | 006.31 .G427 2023 Practical mathematics for AI deep learning / | 006.31 .M697 2017 Machine learning : | 006.31 .R729 2017 A first course in machine learning / | 006.312 .B618 2015 The art and science of analyzing software data / | 006.312 .D232 2017 Data mining / |
Includes index
"This book explains the concepts of machine learning algorithms and provides simple, practical examples to help you understand each algorithm. It focuses on supervised and unsupervised machine learning methods. The main objective of this book is to introduce these methods in a simple and practical way so that even someone new to the topics can understand and benefit from them.
The book consists of 12 chapters divided into two sections: supervised learning algorithms and unsupervised learning algorithms. The chapters are written independent of one another, so you can start from any chapter and understand it easily. Each chapter discusses the algorithms through which the chapter methods work and implements the algorithms in MATLAB." --Provided by publisher
Adult
Text in English
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