Bayesian Reasoning and Machine Learning (Record no. 2486)
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| 000 -LEADER | |
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| fixed length control field | 03093nam a22002057a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20200224111321.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 200118b ||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 978-1-10743995-5 |
| 028 ## - PUBLISHER NUMBER | |
| Source | Allied Informatics, Jaipur |
| Bill Number | 7084 |
| Bill Date | 13/01/2020 |
| Purchase Year | 2019-20 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | BSDU |
| Language of cataloging | English |
| Transcribing agency | BSDU |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.31 |
| Item number | BAR |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Barber,David |
| 245 ## - TITLE STATEMENT | |
| Title | Bayesian Reasoning and Machine Learning |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | New Delhi |
| Name of publisher, distributor, etc. | Cambridge University Press |
| Date of publication, distribution, etc. | 2019 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 697 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | DescriptionContentsResourcesCoursesAbout the Authors Machine learning methods extract value from vast data sets quickly and with modest resources. They are established tools in a wide range of industrial applications, including search engines, DNA sequencing, stock market analysis, and robot locomotion, and their use is spreading rapidly. People who know the methods have their choice of rewarding jobs. This hands-on text opens these opportunities to computer science students with modest mathematical backgrounds. It is designed for final-year undergraduates and master's students with limited background in linear algebra and calculus. Comprehensive and coherent, it develops everything from basic reasoning to advanced techniques within the framework of graphical models. Students learn more than a menu of techniques, they develop analytical and problem-solving skills that equip them for the real world. Numerous examples and exercises, both computer based and theoretical, are included in every chapter. Resources for students and instructors, including a MATLAB toolbox, are available online. Consistent use of modelling encourages students to see the bigger picture while they develop hands-on experience Full downloadable MATLAB toolbox, including demos, equips students to build their own models Website includes figures from the book, LaTeX code for use in slides, and additional teaching material that enables instructors to easily set exercises and assignments Contents Preface Part I. Inference in Probabilistic Models: 1. Probabilistic reasoning 2. Basic graph concepts 3. Belief networks 4. Graphical models 5. Efficient inference in trees 6. The junction tree algorithm 7. Making decisions Part II. Learning in Probabilistic Models: 8. Statistics for machine learning 9. Learning as inference 10. Naive Bayes 11. Learning with hidden variables 12. Bayesian model selection Part III. Machine Learning: 13. Machine learning concepts 14. Nearest neighbour classification 15. Unsupervised linear dimension reduction 16. Supervised linear dimension reduction 17. Linear models 18. Bayesian linear models 19. Gaussian processes 20. Mixture models 21. Latent linear models 22. Latent ability models Part IV. Dynamical Models: 23. Discrete-state Markov models 24. Continuous-state Markov models 25. Switching linear dynamical systems 26. Distributed computation Part V. Approximate Inference: 27. Sampling 28. Deterministic approximate inference Appendix. Background mathematics |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Machine Learning |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | |
| Koha item type | Books |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Permanent Location | Current Location | Date acquired | Cost, normal purchase price | Full call number | Barcode | Date last seen | Cost, replacement price | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Not For Loan | Reference | BSDU Knowledge Resource Center, Jaipur | BSDU Knowledge Resource Center, Jaipur | 2020-01-18 | 1495.00 | 006.31 BAR | 018033 | 2020-02-12 | 1495.00 | 2020-01-18 | Books |