Essential Math for Data Science by Thomas Nield

Essential Math for Data Science by 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.

Thomas Nield is the founder of Nield Consulting Group as well as an instructor at O'Reilly Media and University of Southern California. He enjoys making technical content relatable and relevant to those unfamiliar or intimidated by it. Thomas regularly teaches classes on data analysis, machine learning, mathematical optimization, and practical artificial intelligence. He's authored two books, including Getting Started with SQL (O'Reilly) and Learning RxJava (Packt).

SKU	Unavailable
ISBN 13	9781098102937
ISBN 10	1098102932
Title	Essential Math for Data Science
Author	Thomas Nield
Condition	Unavailable
Binding Type	Paperback
Publisher	O'Reilly Media
Year published	2022-06-10
Number of pages	350
Cover note	Book picture is for illustrative purposes only, actual binding, cover or edition may vary.