Mathematics for Data Science and AI

Nimmy Chacko, Mathews Emmanuel
Dr.K.Sumathy, Dr.Lalitha Ramachandran

This book provides a strong mathematical foundation for data science, covering linear algebra, calculus, probability, and statistical methods essential for analysis and modeling. It also focuses on regression, inference, and optimization techniques, enabling learners to build and understand advanced data-driven and machine learning models.