Further Details
Title: Essential Math for Data Science Condition: New Subtitle: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics EAN: 9781098102937 ISBN: 9781098102937 Publisher: O'Reilly Media Format: Paperback Type: Paperback Release Date: 10/06/2022 Description: 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 Language: English Country/Region of Manufacture: US Author: Thomas Nield Genre: Computing & Internet Release Year: 2022
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