Men of Mathematics 内容简介 Here is the classic, much-read introduction to the craft and history of mathematics by E.T. Bell, a leading figure in mathematics in America for half a century. Men of Mathematics accessibly explains the major mathematics, from the geometry of the Greeks through Newton's calculus and on to the laws of probability, symbolic logic, and the fourth dimension. In addition, the book goes beyond pure mathematics to present a series of engrossing biographies of the great mathematicians -- an extraordinary number of whom lived bizarre or unusual lives. Finally, Men of Mathematics is also a history of ideas, tracing the majestic development of mathematical thought from ancient times to the twentieth century. This enduring work's clear, often humorous way of dealing with complex ideas makes it an ideal book for the non-mathematician. 媒体推荐 Nature Professor E.T. Bell has written a fascinating book. The amount of biographical details and of mathem

费曼物理学讲义习题 英文原版 Exercises for the Feynman Lectures on Physics Product details Paperback: 320 pages author: Richard P. Feynman Publisher: Basic Books (21 Aug. 2014) Language: English ISBN-10: 0465060714 ISBN-13: 9780465060719 Product Dimensions: 1.3 x 21.6 x 27.9 cm Average Customer Review: 5.0 out of 5 stars See all reviews (2 customer reviews) Amazon Bestsellers Rank: 105,869 in Books (See Top 100 in Books) Combined into one volume for the first time, the updated and clarified Exercises for the Feynman Lectures on Physics provides comprehensive, hands-on practice in all the most important areas of physics--from Newtonian mechanics through the theory of relativity and quantum mechanics. A perfect complement to The Feynman Lectures on Physics, these exercises have all been assigned in Caltech's mandatory two-year introductory physics course, either when Richard Feynman was teaching it, or during the nearly two decades that followed w

During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It is a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees a

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