Mathematical Methods in Data Science: Bridging Theory and Applications with Python (Cambridge Mathematical Textbooks) (Free PDF)

Data science is often presented as a combination of programming, statistics, and machine learning. However, beneath many of the algorithms used in modern data science lies a strong mathematical foundation. Linear algebra, calculus, probability, statistics, optimization, and numerical methods all play important roles in understanding how data-driven models actually work. Mathematical Methods in…