Mathematical Foundations of Machine Learning

A 89-video playlist by NPTEL - Indian Institute of Science, Bengaluru, about 46 hours 34 minutes of video in total.

Videos in this playlist include:

• Mathematical Foundations of Machine Learning (Intro)
• Lec 01 Overview of Function Approximation
• Lec 02 Recap of Probability Theory - 1, Part 1
• Lec 03 Recap of Probability Theory - 1, Part 2
• Lec 04 Recap of Probability Theory - 1, Part 3
• Lec 05 Recap of Probability Theory Part 2
• Lec 06 Understanding a Chest X-Ray as Sample from Distribution
• Lec 07 IID Assumption
• Lec 08 Distribution Estimation
• Lec 09 Density Function
• Lec 10 Challenge With ML
• Tutorial 1 : Introduction to Python Basics
• Tutorial 2 : Simple Problem solving in Probability Theory
• Lec 11 Entropy
• Lec 12 Kullback-Leibler (KL) Divergence
• Lec 13 Minimization of KL Divergence
• Lec 14 Example of ML Estimate
• Lec 15 Risk Minimization Framework
• Lec 16 Bayes Classifier
• Tutorail 3 : Risk Minimization Framework
• Lec 17 MLE for Gaussian Distribution
• Lec 18 MLE for Generalized Discrete Random Variable
• Lec 19 Density Estimation for Mixed Distribution
• Lec 20 Latent Variable Models
• Lec 21 MLE for Latent Variable Models

…and 64 more videos.