Probabilistic machine learning : advanced topics / Kevin P. Murphy.
Material type:
TextSeries: Adaptive computation and machine learning seriesPublication details: Cambridge, Massachusetts, The MIT Press 2023Description: 1 online resourceISBN: - 9780262375993
- 9780262376006
- 006.31015192 23 M9781p
| Item type | Current library | Call number | Vol info | Copy number | Status | Barcode | |
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Library, Independent University, Bangladesh (IUB) Reference Stacks | 006.31015192 M9781p (Browse shelf(Opens below)) | 2023 | 01 | Not For Loan | 029450 |
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| 006.31 K439m Machine learning : a probabilistic perspective / | 006.31 R639p The principles of deep learning theory : an effective theory approach to understanding neural networks / | 006.310151 K689m Math for deep learning : what you need to know to understand neural networks / | 006.31015192 M9781p Probabilistic machine learning : advanced topics / | 006.312 H2331d 2012 Data mining : concepts and techniques / | 006.312 M675c Clustering for Data Mining : a data recovery approach / | 006.312 V224p Python data science handbook : essential tools for working with data / |
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"--
School of engineering, Technology &Sciences Physical Science Reference Stacks
Risaam
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