Description

Book Synopsis
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 provides an introduction to the mathematical methods that form the foundations of machine learning and data science.

Table of Contents
  • P. Drineas and M. W. Mahoney, Lectures on randomized numerical linear algebra
  • S. J. Wright, Optimization algorithms for data analysis
  • J. C. Duchi, Introductory lectures on stochastic optimization
  • P.-G. Martinsson, Randomized methods for matrix computations
  • R. Vershynin, Four lectures on probabilistic methods for data science
  • R. Ghrist, Homological algebra and data.

    The Mathematics of Data

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      A Hardback by Michael W. Mahoney, John C. Duchi, Anna C. Gilbert

      £98.10

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        Book details

        Publisher American Mathematical Society
        Published 30 November 2018
        ISBN-13 9781470435752
        978-1470435752
        ISBN-10 1470435756
        Also in:
        Maths for computer scientists

        Description

        Book Synopsis
        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 provides an introduction to the mathematical methods that form the foundations of machine learning and data science.

        Table of Contents
        • P. Drineas and M. W. Mahoney, Lectures on randomized numerical linear algebra
        • S. J. Wright, Optimization algorithms for data analysis
        • J. C. Duchi, Introductory lectures on stochastic optimization
        • P.-G. Martinsson, Randomized methods for matrix computations
        • R. Vershynin, Four lectures on probabilistic methods for data science
        • R. Ghrist, Homological algebra and data.

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