Fundamentals of machine learning / edited by Percy Vaughn.
Material type: TextLanguage: English Series: Textbook seriesPublication details: New York, NY : Larsen & Keller, c2018.Description: viii, 234 pages : color illustrations ; 27 cmContent type:- text
- unmediated
- volume
- 9781635497939
- Q325.5 F96 2018
Item type | Current library | Collection | Call number | Materials specified | URL | Status | Notes | Date due | Barcode |
---|---|---|---|---|---|---|---|---|---|
Books | Ladislao N. Diwa Memorial Library Reserve Section | Non-fiction | RUS Q325.5 F96 2018 (Browse shelf(Opens below)) | Link to resource | Room use only | 77731 | 00079852 |
Includes index.
An introduction to machine learning -- Supervised learning and unsupervised learning: machine learning tools -- Methods of machine learning -- Machine learning algorithms -- Allied fields of machine learning -- An integrated study of artificial neural network.
"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 analysis of data sets and thereby determining better predications. The different concepts used used under this field are deep learning, decision tree 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 principle in the field of machine learning. The topics included in it are of utmost significance and bound to provide incredible insights to readers. The textbook is appropriate for those seeking detailed information in this area."--Back cover.
Fund 164 Great Books Trading Purchased 09/10/2019 77731 NEJ PHP 4,495.50 2019-08-621 2019-1-0508