Fundamentals of machine learning / edited by Percyt Vaughn
Copyright date: New York, USA : Larsen & Keller, c2018Description: 234 pages, 6 unnumbered pages of plates ; 27 cmContent type:- text
- unmediated
- volume
- 9781635497939
- 006.31 .F981 2018
- Q325.5 .F86 2018
Item type | Current library | Call number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|
Print Materials | Main Library General Circulation | 006.31 .F981 2018 (Browse shelf(Opens below)) | Available | 0122399 |
Browsing Main Library shelves, Shelving location: General Circulation Close shelf browser (Hides shelf browser)
006.3/R784 c1990 Artificial intelligence through prolog / | 006.3/Un2 c1986 Artificial intelligence / | 006.31 .Al456 2021 Machine learning / | 006.31 .F981 2018 Fundamentals of machine 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 / |
Includes index
"This book Machine Learning refers to the ability of computers to recognize patterns and arrive at decisions based on such assessment. It helps in a better analysis of data sets and thereby determining better predictions. The different concepts used under this field are deep learning, decision three learning, clustering reinforcement learning, sparse dictionary learning, rule-based machine learning, etc. This book is a valuable compilation of topics, ranging from the basic to the most complex theories and principles in the field of machine learning. The topics included in it are of utmost significance and bound to provide incredible insights to readers." --Publisher's description
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Text in English
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