Essential Math for Data Science

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Mathematics - Computational Mathematics
Essential Math for Data Science

Essential Math for Data Science

Thomas Nield

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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, probability, linear algebra, and statistics and how they apply to techniques like linear regression, logistic regression, and neural networks. Along the way you'll also gain practical insights into the state of data science and how to use those insights to maximize your career.

Categories:

Mathematics - Computational Mathematics

Year:

2022

Publisher:

O'Reilly Media, Inc.

Language:

english

File:

EPUB, 9.50 MB

IPFS:

english, 2022