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Essential math for data science : take control of your data with fundamental linear algebra, probability, and statistics / Thomas Nield
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Edited by O'Reilly - 2022
To succeed in data science you need some math proficiency. But not just any math. This common-sense guide provides a clear, plain English survey of the math you'll need in data science, including probability, statistics, hypothesis testing, linear algebra, machine learning, and calculus.
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