Week - 1 |
Optimization, machine learning and convexity |
Week - 2 |
Convex optimization for machine learning |
Week - 3 |
General formulation of machine learning problems and machine learning problem: Support Vector Machines |
Week - 4 |
Machine learning problem: Support Vector Machines |
Week - 5 |
Machine learning problem: Logistic Regression |
Week - 6 |
Gradient decent method |
Week - 7 |
Line search in gradient descent method |
Week - 8 |
Stochastic gradient descent method |
Week - 9 |
Noise reduction methods |
Week - 10 |
Adaptive methods |
Week - 11 |
Convergence analysis of first-order methods |
Week - 12 |
Second-order methods |
Week - 13 |
Stochastic BFGS and L-BFGS methods |
Week - 14 |
Convergence analysis of second-order methods |