0 avis
Essential math for data science : take control of your data with fundamental linear algebra, probability, and statistics / Thomas Nield
Livre
Edited by O'Reilly - 2022
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.