Course overview

What is Machine Learning Techniques (MLT) about?

MLT continues from MLF into practical ML algorithms — representation learning and PCA, clustering, and estimation theory — and is more applied/algorithmic than MLF's math-foundations focus.

• ▸Week 1: what machine learning is, the major learning paradigms, representation learning, Principal Component Analysis.
• ▸Week 2: PCA in practice (eigenfaces, its issues, time complexity), kernel PCA, the curse of dimensionality.
• ▸Week 3: clustering — Lloyd's algorithm (K-Means), convergence, initialization, K-Means++.
• ▸Week 4: estimation — maximum likelihood, Bayesian estimation, Gaussian Mixture Models, the EM algorithm.

Unofficial, student-built, not affiliated with IIT Madras.