This is the guide to Western art that every art lover has always wanted. Great paintings, filled with complex themes and symbols, can be intimidating. Here, Patrick De Rynck and Jon Thompson explore more than 300 famous works spanning the Middle Ages to the late 20th century, unlocking each work’s meaning. Today's art lovers lack the intimate knowledge of Greek and Roman mythol...(展开全部)

This grand, ambitious book is about a way of building that for centuries dominated the making of monumental architecture - yet now not only is it lost as practice, but knowledge of its very existence is also lost. In the pre-modern age in Europe, the architect built not merely with imagination, brick and mortar, but with time, using vast quantities of duration as the means to e...(展开全部)

Filled with great masterpieces by such artists as Botticelli, Leonardo, Raphael, Michelangelo, Masaccio, Piero della Francesca, Mantegna and Titian, Understanding Italian Renaissance Painting takes a journey into their world. As in the acclaimed and innovative 'How to Read a Painting', each spread uses an important painting as a way to explain a key concept, with numerous large...(展开全部)

Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides an extensive theoretical account of the fundamental ideas underlying machine learning and the mathematical derivations that transform t...(展开全部)

Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides an extensive theoretical account of the fundamental ideas underlying machine learning and the mathematical derivations that transform t...(展开全部)

Computer simulation techniques have become almost essential in the study of the macro-molecular phenomena and phase behavior on the molecular level. As these techniques become increasingly important, it is necessaryto realize that they are useful tools, but are not the goals of research. With this important distinction in mind, Understanding Molecular Simulation describes simul...(展开全部)

Understanding Molecular Simulation: From Algorithms to Applications explains the physics behind the "recipes" of molecular simulation for materials science. Computer simulators are continuously confronted with questions concerning the choice of a particular technique for a given application. A wide variety of tools exist, so the choice of technique requires a good understandin...(展开全部)

Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides an extensive theoretical account of the fundamental ideas underlying machine learning and the mathematical derivations that transform t...(展开全部)