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Essential Math for Data Science
Language: en
Pages: 352
Authors: Thomas Nield
Categories: Computers
Type: BOOK - Published: 2022-05-26 - Publisher: "O'Reilly Media, Inc."

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Master the math needed to excel in data science, machine learning, and statistics. In this book author Thomas Nield guides you through areas like calculus, prob
Practical Statistics for Data Scientists
Language: en
Pages: 322
Authors: Peter Bruce
Categories: Computers
Type: BOOK - Published: 2017-05-10 - Publisher: "O'Reilly Media, Inc."

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Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics r
Math for Programmers
Language: en
Pages: 686
Authors: Paul Orland
Categories: Computers
Type: BOOK - Published: 2020-11-30 - Publisher: Simon and Schuster

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"A gentle introduction to some of the most useful mathematical concepts that should be in your developer toolbox." - Christopher Haupt, New Relic Explore import
Mathematics for Machine Learning
Language: en
Pages: 392
Authors: Marc Peter Deisenroth
Categories: Computers
Type: BOOK - Published: 2020-04-23 - Publisher: Cambridge University Press

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The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, opti
Foundations of Data Science
Language: en
Pages: 433
Authors: Avrim Blum
Categories: Computers
Type: BOOK - Published: 2020-01-23 - Publisher: Cambridge University Press

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Covers mathematical and algorithmic foundations of data science: machine learning, high-dimensional geometry, and analysis of large networks.