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Mathematical Introduction to Data Science

Description

A mathematically rigorous survey of core data-science techniques — from regression and k-nearest neighbors to high-dimensional phenomena, dimensionality reduction, and modern classifiers (Perceptron, SVMs, Kernel Methods, Neural Networks). Emphasis on both theoretical foundations and hands-on Python implementation with real datasets.

News

07.10.2025	Lecture time on Tuesday, 12:00-14:00. Room No. will be announced soon. Tutorial time on Friday, 14:00-15:00. Room No. will be announced soon.

Important Links

Course on ALMA System

Prerequisites

Multivariable Calculus
Linear Algebra (eigenvalues and SVD)
Basic Probability Theory
Python programming (NumPy, scikit-learn)

References

Sven A. Wegner, Mathematical Introduction to Data Science

Contact person: Dr. Abishek Chaudhary. If you have any questions, please come by my office or write me an email.

Last modified: Tuesday, 07-Oct-2025 15:45:14 CEST, Webmaster