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.

This plain-English guide explores the many applications of this mathematical tool and shows how differential equations can help us understand the world around us.

Written by the founder and faculty of Advantage Education, one of America's most respected providers of school-based test-prep classes, this book provides you with the intensive ACT practice that will help your scores improve from each test ...

This book provides a comprehensive introduction to actuarial mathematics, covering both deterministic and stochastic models of life contingencies, as well as more advanced topics such as risk theory, credibility theory and multi-state ...

This edition features 1,000 practice questions, 8 full-length practice tests, complete explanations for every question, pre-chapter assessments to help you review efficiently, and a concise review of the most-tested content to quickly build ...

The Algorithmic Foundations of Differential Privacy is meant as a thorough introduction to the problems and techniques of differential privacy, and is an invaluable reference for anyone with an interest in the topic.

This work addresses the increasingly important role of numerical methods in science and engineering.

Discover high-value Azure security insights, tips, and operational optimizations This book presents comprehensive Azure Security Center techniques for safeguarding cloud and hybrid environments.

This is the fourth book in the five book International Mathematics for the Middle Years series.