








Pattern Recognition and Machine Learning (Information Science and Statistics), E-Book
About this item
- Hight Quality PDF /EPUB format
- Digital Ebook
- Instant Download
- Lifetime Access
- ISBN-10: 0387310738
- ISBN-13: 978-0387310732
This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability distributions when no other books apply graphical models to machine learning. No previous knowledge of pattern recognition or machine learning concepts is assumed. 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.
- Hight Quality PDF /EPUB format
- Digital Ebook
- Instant Download
- Lifetime Access
- ISBN-10: 0387310738
- ISBN-13: 978-0387310732
This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability distributions when no other books apply graphical models to machine learning. No previous knowledge of pattern recognition or machine learning concepts is assumed. 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.
Questions
Delivery & Return Policy
Exceptions may apply
Payment Methods

Dottieshop
Payment Methods
About Seller

Dottieshop









Pattern Recognition and Machine Learning (Information Science and Statistics), E-Book
Pattern Recognition and Machine Learning (Information Science and Statistics), E-Book
- Hight Quality PDF /EPUB format
- Digital Ebook
- Instant Download
- Lifetime Access
- ISBN-10: 0387310738
- ISBN-13: 978-0387310732
This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability distributions when no other books apply graphical models to machine learning. No previous knowledge of pattern recognition or machine learning concepts is assumed. 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.
- Hight Quality PDF /EPUB format
- Digital Ebook
- Instant Download
- Lifetime Access
- ISBN-10: 0387310738
- ISBN-13: 978-0387310732
This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability distributions when no other books apply graphical models to machine learning. No previous knowledge of pattern recognition or machine learning concepts is assumed. 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.
Free Shipping
24/7 Live Chat
Secure Payments