02088nam a2200253 4500 20250910104516.0 180202bxxu||||| |||| 00| 0 eng d 9780387310732 eng 006.4 BisP Bishop, Christopher M. Pattern Recognition and Machine Learning / Christopher M. Bishop New York: Springer; ©2006 xx, 778p. Information Science and Statistics Includes bibliographical references and index Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference algorithms such as variational Bayes and expectation pro- gation. Similarly, new models based on kernels have had significant impact on both algorithms and applications. This new textbook reacts these recent developments while providing a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first year PhD students, as wellas researchers and practitioners, and assumes no previous knowledge of pattern recognition or - chine learning concepts. Knowledge of multivariate calculus and basic linear algebra is required, and some familiarity with probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory. Machine learning Artificial intelligence Mathematical statistics Pattern perception Pattern recognition systems BK 1337 1337 0 0 0 0 ECE IITTP IITTP GEN 2018-02-02 The Book Syndicate 4484.04 BS/35256 8 6 006.4 CHR 04197 2025-09-18 00:00:00 2025-08-13 5605.05 2018-01-25 BK 0 0 0 0 ECE IITTP IITTP GEN 2018-02-02 The Book Syndicate 4484.04 BS/35256 9 10 006.4 CHR 04198 2025-12-05 00:00:00 2025-08-14 5605.05 2018-01-25 BK 0 0 0 0 ECE IITTP IITTP GEN 2018-02-02 The Book Syndicate 4484.04 BS/35256 14 14 006.4 CHR 04199 2026-02-17 00:00:00 2026-01-29 5605.05 2018-01-25 BK 0 0 0 0 ECE IITTP IITTP GEN 2018-02-02 The Book Syndicate 4484.04 BS/35256 11 5 006.4 CHR 04200 2026-03-24 00:00:00 2026-01-15 5605.05 2018-01-25 BK 0 0 0 0 ECE IITTP IITTP GEN 2018-02-02 The Book Syndicate 4484.04 BS/35256 8 2 006.4 CHR 04201 2026-01-07 00:00:00 2025-07-10 5605.05 2018-01-25 BK 0 0 0 0 ECE IITTP IITTP GEN 2018-02-02 The Book Syndicate 4484.04 BS/35256 11 6 006.4 CHR 04202 2025-12-22 00:00:00 2025-08-13 5605.05 2018-01-25 BK 0 0 0 0 ECE IITTP IITTP GEN 2018-02-02 The Book Syndicate 4484.04 BS/35256 15 8 006.4 CHR 04203 2025-09-10 00:00:00 2025-09-08 5605.05 2018-01-25 BK 0 0 0 0 CSE IITTP IITTP GEN 2019-03-05 Capital Books 3775.48 757/18-19 7 5 006.4 CHR 05253 2025-10-31 00:00:00 2025-09-06 5677.40 2019-02-12 BK 0 0 0 0 CSE IITTP IITTP GEN 2019-03-05 Capital Books 3775.48 757/18-19 5 8 006.4 CHR 05254 2026-03-27 00:00:00 2026-01-13 5677.40 2019-02-12 BK 0 0 0 0 CSE IITTP IITTP GEN 2019-03-05 Capital Books 3775.48 757/18-19 10 11 006.4 CHR 05255 2025-12-01 00:00:00 2025-11-01 5677.40 2019-02-12 BK 0 0 0 0 CSE IITTP IITTP REF 2019-03-05 3775.48 757/18-19 0 REF 006.4 BisP 05256 2019-03-05 00:00:00 5677.40 2019-02-12 REF 0 0 0 0 CSE IITTP IITTP GEN 2019-03-05 Capital Books 3775.48 757/18-19 5 6 006.4 CHR 05257 2025-09-11 00:00:00 2025-09-08 5677.40 2019-02-12 BK