Essential Math for Data Science. Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics, Paperback/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. Publisher: O'Reilly Media Author(s): Thomas Nield Number of pages: 350 Publication date: 2022 Dimensions: 177 x 232 x 22 Cover type: Paperback / softback