Evanalysis
MATH3320 course notes

MATH3320 reading list

Books recommended on the official 2025/26 Foundation of Data Analytics course page.

Official course reading list
  1. Mathematical Foundations for Data Analysis

    Jeff M. Phillips. Springer, 2021.

    Regression, dimensionality reduction, clustering, and classification through their mathematical foundations.

    Author's online edition
  2. Mathematics for Machine Learning

    Marc Peter Deisenroth, A. Aldo Faisal, Cheng Soon Ong. Cambridge University Press, 2020.

    Linear algebra, matrix decompositions, calculus, probability, and continuous optimization, followed by regression and PCA.

    Author's online edition

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