Paper back. Black/White print International Edition (From India) In good condition from non smoking reader. No visible wear. Asking for $28 + shipping or best offer. (I am not in Lansing.) I am selling it only because I want to get a hardcover one. Very good textbook on machine learning. Description (from Amazon): 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. Link in amazon: http://www.amazon.com/Pattern-Recognition-Learning-Information-Statistics/dp/0387310738/ref=sr_1_1?ie=UTF8&qid=1415508314&sr=8-1&keywords=pattern+recognition+and+machine+learning ================================================================ To Subscribe or Unsubscribe CSSAMSU mailing list, please go to: http://list.msu.edu/archives/cssamsu.html Click "Join or leave the list". For further assistance, please contact Jerry McAllister [log in to unmask] ================================================================