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Mathematical Foundations of Data Science by Constantinopulous is a document available to read on EtoBox.

What is Mathematical Foundations of Data Science about?

This book serves as a textbook for a Data Science and Analytics course, aiming to introduce mathematical concepts and algorithms essential for understanding data science. It covers topics such as set theory, linear algebra, calculus, and statistics, along with practical algorithms like Principal Component Analysis and Linear Regression. The structure includes foundational knowledge, algorithmic principles, and applications, with numerous examples and exercises for enhanced learning.

Author

Constantinopulous

Language

EN