Pattern recognition and machine learning Christopher M Bishop
Material type:
TextPublication details: New York : Springer, ©2006.Description: 738 pagesISBN: - 9781493938438
- 006.4 BIS
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Reference
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IIITDM Kurnool Reference | Reference | 006.4 BIS (Browse shelf(Opens below)) | Not For Loan | 0004024 | |
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IIITDM Kurnool General Stacks | Non-fiction | 006.4 BIS (Browse shelf(Opens below)) | Checked out | 06.02.2025 | 0004025 |
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| 006.312 LIU Sentiment analysis : | 006.312 ROS Fuzzy Sets and Fuzzy Logic with Engineering Applications, , | 006.312 ZAK Data mining and machine learning : | 006.4 BIS Pattern recognition and machine learning | 006.6 EHS Data acquisition using labVIEW : | 006.754 Cha Social network data analytics | 007.52 CRA Introduction to Robotics Mechanics and Controls |
Probability Distributions.- Linear Models for Regression.- Linear Models for Classification.- Neural Networks.- . Kernel Methods.- Sparse Kernel Machines.- Graphical Models.- Mixture Models and EM.- Approximate Inference.- Sampling Methods.- Continuous Latent Variables.- Sequential Data.- Combining Models
Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.
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