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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