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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      £98.10

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      RRP £109.00 – you save £10.90 (10%)

      Order before 4pm today for delivery by Fri 3 Jul 2026.

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

      3 in stock

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        Publisher: American Mathematical Society
        Publication Date: 30/11/2018
        ISBN13: 9781470435752, 978-1470435752
        ISBN10: 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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