Hundreds of exercises and problems: Reinforces learning and understanding through practice
Accessible introduction to advanced topics: Suitable for both undergraduates and beginning graduates
Supports student and educator use: Valuable resource for both learning and teaching
Summarized by Shop
Bridge the gap between theoretical concepts and their practical applications with this rigorous introduction to the mathematics underpinning data science. It covers essential topics in linear algebra, calculus and optimization, and probability and statistics, demonstrating their relevance in the context of data analysis. Key application t
Format
Print book
Target Audience
Advanced undergraduates and beginning graduate students in data science
