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Data science is a highly interdisciplinary field, incorporating ideas from applied mathematics, statistics, probability, and computer science, as well as many other areas. This book gives an introduction to the mathematical methods that form the foundations of machine learning and data science, presented by leading experts in computer science, statistics, and applied mathematics. Although the chapters can be read independently, they are designed to be read together as they lay out algorithmic, statistical, and numerical approaches in diverse but complementary ways. This book can be used...

The mystery of how, when, and why people change lies at the heart of the therapy process. Many authors have given shape to different pieces of the puzzle. Here at last is a book that provides the integrative framework within which these pieces can fit together.Why is it so difficult for people to change? What can be done to maximize the chances for success? To answer these questions, this sweeping book travels across a vast intellectual terrain, encompassing the history of ideas about human nature, developments in the cognitive sciences, artificial intelligence, evolution, psychobiology,...