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Pattern Recognition and Machine Learning
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.
Why Small Groups?
Do you want to get on the fast track to Christian maturity? Small groups provide the ideal context for working out our salvation together. Whether you attend a small group or lead one, this book will raise your vision and inspire you to excel in the areas of service to which God has called you. And if you don't attend a small group? All the more reason you may want to read Why Small Groups? and let it change your life. The authors are all pastors from various Sovereign Grace Ministries churches.
The American-Scandinavian Review
Vol. 14, no. 5 (May 1926) is special issue devoted to John Ericsson.
