Principles and theory for data mining and machine learning
Material type:
TextSeries: Springer series in statisticsPublication details: New York Springer-Verlag 2009Description: xv,781pISBN: - 978-0-387-98134-5
- 000SB:006.31 C597
| Item type | Current library | Call number | Status | Notes | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 000SB:006.31 C597 (Browse shelf(Opens below)) | Available | Gifted by Prof Sankar Kumar Pal (CSCR) | C27008 | |||
| Books | ISI Library, Kolkata | 000SB:006.31 C597 (Browse shelf(Opens below)) | Available | 131711 |
Total holds: 0
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| 000SB:006.425 P729 Markov models for handwriting recognition | 000SB:006.454 Y76 Corpus-based methods in language and speech processing | 000SB:006.3 D253 Bayesian methods for hackers : | 000SB:006.31 C597 Principles and theory for data mining and machine learning | 000SB:006.31 Su947 Statistical reinforcement learning : | 000SB:006.312 In61 Statistical data mining and knowledge discovery / | 000SB:006.312 M995 Making sense of data I : |
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