Inference and Learning from Data Inference, Volume 2
- Textbook
Description
This extraordinary three-volume work, written in an engaging and rigorous style by a world authority in the field, provides an accessible, comprehensive introduction to the full spectrum of mathematical and statistical techniques underpinning contemporary methods in data-driven learning and inference. This second volume, Inference, builds on the foundational topics established in volume I to introduce students to techniques for inferring unknown variables and quantities, including Bayesian inference, Monte Carlo Markov Chain methods, maximum-likelihood estimation, hidden Markov models, Bayesian networks, and…
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Additional help with this eTextbook
This is the second volume of a three volume textbook. We encourage instructors to refer to the Course Guide in the Resources area for more information on how the volumes can be combined or used individually to support different courses.
Key features
- Unique in its scale and depth, this is a comprehensive introduction to methods in data-driven learning and inference
- Over 1300 end-of-chapter problems (with solutions for instructors), 600 figures and 470 in-text solved examples across the three volumes
- A phenomenal contribution by a world authority in the field
- Covers sufficient topics across the volumes for the construction of a variety of courses covering a wide range of themes
About the book
- DOI https://doi.org/10.1017/9781009218245
- Subjects Communications and Signal Processing,Computer Science,Engineering,Machine Learning and Pattern Recognition
- Format: Hardback
- Publication date: 02 March 2023
- ISBN: 9781009218269
- Dimensions (mm): 244 x 170 mm
- Weight: 1.87kg
- Page extent: 1070 pages
- Availability: In stock
- Format: Digital
- Publication date: 17 March 2023
- ISBN: 9781009218245
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Curated content
- TextbookInference and Learning from DataAli H. Sayed
Foundations, Volume 1
Online publication date: 17 February 2023
Hardback publication date: 22 December 2022
- TextbookInference and Learning from DataAli H. Sayed
Learning, Volume 3
Online publication date: 24 February 2023
Hardback publication date: 22 December 2022
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