Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics
by Thomas Nield
A practical guide to the essential math concepts every data scientist needs, covering linear algebra, probability, and statistics with clear examples.
About This Book
Essential Math for Data Science introduces the fundamental mathematical principles that underpin data analysis and modeling.
Readers explore linear algebra, probability, and statistics through practical examples and clear explanations.
The book helps data professionals strengthen their quantitative skills for real-world applications.
Concepts are presented in an accessible way to support both beginners and those looking to deepen their understanding.
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