Lectures related to Classification: Introduction

Related lectures (32)

Covers clustering, PCA, LDA, K-means, GMM, KDE, and Mean Shift algorithms for density estimation and clustering.

Introduces the basics of machine learning, covering supervised classification, logistic regression, and maximizing the margin.