Essential math for data science: take control of your data with fundamental linear algebra, probability, and statistics
Auteur :
Nield, Thomas
Éditeur :
O'Reilly Media
ISBN :
9781098102937
Date de publication :
10 juin 2022
Langue :
Anglais
Pays d'origine :
USA
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.