Description

Book Synopsis
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.

Essential Math for Data Science

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    A Paperback / softback by Thomas Nield

    £39.74

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      Book details

      Publisher O'Reilly Media
      Published 10 June 2022
      ISBN-13 9781098102937
      978-1098102937
      ISBN-10 1098102932
      Also in:
      Computing Machine learning Maths for computer scientists

      Description

      Book Synopsis
      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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