Mathematical Foundations for Machine Learning

A 71-video playlist by NPTEL - Indian Institute of Science, Bengaluru, about 47 hours 31 minutes of video in total.

Videos in this playlist include:

• Lec 70 Course Summary, Credits & Acknowledgments
• Lec 69 Logistic Regression
• Lec 68 Linear Regression : Line of best fit
• Lec 67 Classification, Clustering Techniques
• Lec 66 Classification and a simple binary classifier
• Lec 65 Data and Patterns
• Lec 64 Back Propogation Algorithm
• Lec 63 Multilayer Layer Perceptron
• Lec 62 Neural Networks , Perceptron
• Lec 61 Variants of the Gradient Descent Algorithm
• Lec 60 Minimizing the Cost Function: Gradent Descent Algorithm
• Lec 59 Revisiting Least squares, Principal Component Analysis
• Lec 58 Constrained optimization, Lagrange Multiplier
• Lec 57 Constrained Optimization, Optimal solutions, Saddle point
• Lec 56 Optimization Overview
• Lec 55 Matrix derivatives
• Lec 54 Rules for Partial Derivatives, Jacobian and Hessian
• Lec 53 Gradient and Directional Derivatives
• Lec 52 Multivariate functions
• Lec 51 Differentiation Rules
• Lec 50 Functions, Derivatives, Infinite Series
• Lec 49 Covariance Matrix & its properties
• Lec 48 Sample Geometry
• Lec 47 Central Limit Theorem
• Lec 46 Chebychev Inequality

…and 46 more videos.