Pattern Recognition and Machine Learning (Information Science and Statistics), e-book

**This is an instant download PDF. No Physical item will be shipped**

♥ ♥ After downloading, you will receive a PDF File

COMPATIBLE DEVICES:
Version: PDF. It can be permanently stored and read on any device

QUALITY:
High Quality. No missing contents. Printable.

DOWNLOAD:
The Download Link will be automatically sent to your Email immediately after you complete the payment.

Description:

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.