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 |
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
Adult 0.00
Text in English
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