Lecture notes of Professor Stéphane Mallat - Collège de France - Paris

Dimensionality Reduction technique in machine learning both theory and code in Python. Includes topics from PCA, LDA, Kernel PCA, Factor Analysis and t-SNE algorithm

🟣 Curse of Dimensionality interview questions and answers to help you prepare for your next machine learning and data science interview in 2024.

Anomaly detection in high dimensional spaces.

Memorization to generalization transition in diffusion based generative models: arxiv-2411.17807

Quick plots in Python as a visual support for the Curse of Dimensionality phenomenon.

Notes, tutorials, code snippets and templates focused on dimensionality reduction methods for Machine Learning

Performing PCA(the unsupervised learning technique) for reducing the dimensions