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Probabilistic machine learning : advanced topics
Material type:
TextSeries: Adaptive computation and machine learning seriesPublication details: Massachusetts : MIT Press, ©2023Description: xxxi, 1319 p. : ill. ; 25 cmISBN: - 9780262048439
- 006.310 23/eng20230111 MUR-P
- Q325.5 .M873 2023
| Item type | Current library | Collection | Call number | Status | Notes | Date due | Barcode | Item holds |
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IIITD Reference | Computer Science and Engineering | CB 006.310 MUR-P (Browse shelf(Opens below)) | Available | DBT Project Grant | 012907 |
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| CB 006.31 KIR-T Thoughtful machine learning with Python : | CB 006.31 MOR-D Grokking deep reinforcement learning | CB 006.31 MUR-M Machine learning : a probabilistic perspective | CB 006.310 MUR-P Probabilistic machine learning : advanced topics | CB 006.31 STA-S The statquest illustrated guide to machine learning | CB 006.31 SUT-R Reinforcement learning : an introduction | CB 006.31 TRA-D Grokking deep learning |
Includes bibliographical references and index.
"An advanced book for researchers and graduate students working in machine learning and statistics that reflects the influence of deep learning"--
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