02205nam a22002297a 4500 56469 56469 20200306101035.0 200306b ||||| |||| 00| 0 eng d 9781107439955 Brijwasi Book Distributors H-87, Lalita Park,Laxmi Nagar,Delhi-110092 BW/005744 28/02/2020 006.31 BAR David Barber Bayesian reasoning and machine learning /David Barber Cambridge ; New York : Cambridge University Press , 2012. xxiv, 697 pages ; 26 cm 1495 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; Bibliography; Index. 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 Computer Science Machine learning Bayesian statistical decision theory David Barber BOOK 0 0 ddc 0 0 SNUL SNUL 2020-03-06 Brijwasi Book Distributors 1495.00 2 2 006.31 BAR 27430 2022-10-03 2022-04-04 00:00:00 2022-04-04 2020-03-06 BOOK