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Fundamentals of machine learning / edited by Percyt Vaughn

Contributor(s): Copyright date: New York, USA : Larsen & Keller, c2018Description: 234 pages, 6 unnumbered pages of plates ; 27 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781635497939
Subject(s): DDC classification:
  • 006.31 .F981 2018
LOC classification:
  • Q325.5  .F86 2018
Summary: "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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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

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Text in English

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