Essential Math for Data Science 5th Early Release

$15.99

Essential Math for Data Science 5th Early Release
Authors: Thomas Nield
Year: 2022
Publisher: O’Reilly Media, Inc.
Language: english
ISBN 13: 9781098102920
ISBN 10: 1098102924
Categories: Computers, Algorithms and Data Structures
Pages: 206
Edition:

Availability: 5000 in stock

SKU: 9781098102920 Categories: ,

Essential Math for Data Science (Fifth Early Release) Thomas Nield
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.Practical examples with Python code will help you see how the math applies to the work you’ll be doing, providing a clear understanding of how concepts work under the hood while connecting them to applications like machine learning. You’ll get a solid foundation in the math essential for data science, but more importantly, you’ll be able to use it to:Recognize the nuances and pitfalls of probability mathMaster statistics and hypothesis testing (and avoid common pitfalls)Discover practical applications of probability, statistics, calculus, and machine learningIntuitively understand linear algebra as a transformation of space, not just grids of numbers being multiplied and addedPerform calculus derivatives and integrals completely from scratch in PythonApply what you’ve learned to machine learning, including linear regression, logistic regression, and neural networks Categories:
Computers Algorithms and Data Structures
Year:
2022
Publisher:
O’Reilly Media, Inc.
Language:
english
Pages:
452
ISBN 10:
1098102924
ISBN 13:
9781098102920
File:
10.07 MB

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Essential Math for Data Science 5th Early Release
$15.99

Availability: 5000 in stock