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Teaching Principal Component Analysis Through Multiple Modalities - Instructional Materials

This tutorial was created as part of a Bachelor thesis CSE Research Project in the faculty of EEMCS and serves as an open educational resource for first-year Computer Science students. It was designed as an introduction to the concept of PCA and assumes no prior knowledge of machine learning.

This Jupyter Book template was originally created by:
Freek Pols

About this material

This project explores the use of Jupyter Book for open educational publishing at TU Delft. It is intended as a structured and accessible introduction to foundational concepts in Machine Learning, specifically designed for students in their first year of Computer Science.

The tutorial emphasizes multimodal instruction and gradually introduces key concepts without assuming prior knowledge of Machine Learning or advanced mathematics.

Contact

For questions, feedback, or suggestions regarding this material, feel free to reach out:

A Multimodal Tutorial for Principal Component Analysis
Introduction