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Foundations of Data Science
Covers mathematical and algorithmic foundations of data science: machine learning, high-dimensional geometry, and analysis of large networks.
Women Writers in the United States
Women Writers in the United States is a celebration of the many forms of work - written and social, tangible and intangible - produced by American women. Furthering their work in The Oxford Companion to Women's Writing in the United States, Davis and West document the variety and volume of women's work in the United States in a clear and accessible timeline format. They present information on the full spectrum of women's writing - including fiction, poetry, biography, political manifestos, essays, advice columns, and cookbooks - alongside a chronology of developments in social and cultural history that are especially pertinent to women's lives. This extensive chronology illustrates the diversity of women who have lived and written in the United States and creates a sense of the full trajectory of individual careers. A valuable and rich source of information on women's studies, literature, and history, Women Writers in the United States will enable readers to locate familiar and unfamiliar women's texts and to place them in the context out of which they emerged.
Markov Chains and Mixing Times
This book is an introduction to the modern theory of Markov chains, whose goal is to determine the rate of convergence to the stationary distribution, as a function of state space size and geometry. This topic has important connections to combinatorics, statistical physics, and theoretical computer science. Many of the techniques presented originate in these disciplines. The central tools for estimating convergence times, including coupling, strong stationary times, and spectral methods, are developed. The authors discuss many examples, including card shuffling and the Ising model, from statistical mechanics, and present the connection of random walks to electrical networks and apply it to estimate hitting and cover times. The first edition has been used in courses in mathematics and computer science departments of numerous universities. The second edition features three new chapters (on monotone chains, the exclusion process, and stationary times) and also includes smaller additions and corrections throughout. Updated notes at the end of each chapter inform the reader of recent research developments.
Ms. Magazine
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Newsletter
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Crux Mathematicorum
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Markov Chains and Mixing Times
Markov Chains and Mixing Times is a magical book, managing to be both friendly and deep. It gently introduces probabilistic techniques so that an outsider can follow. At the same time, it is the first book covering the geometric theory of Markov chains and has much that will be new to experts. It is certainly THE book that I will use to teach from. I recommend it to all comers, an amazing achievement.-Persi Diaconis, Mary V. Sunseri Professor of Statistics and Mathematics, Stanford University Mixing times are an active research topic within many fields from statistical physics to the theory o.
The Scientist
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