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

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

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

Anomaly detection in high dimensional spaces.

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

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

Role of diffusion steps in production quality and memorization to generalization transition

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