Optimization in Machine Learning: Lecture 2 (Convex Functions Cont, Analysis of Gradient Descent)

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Optimization in Machine Learning: Lecture 2
- Continuation of Convex Functions: Properties, Examples, Global Miniman and Local Minima
- Analysis of Gradient Descent for Convex Functions: Lipschitz Continuous, Smooth, and Strongly Convex cases
  1. Rishabh
  2. Convex Optimization
  3. Optimization in Machine Learning
  4. Gradient Descent
  5. Convergence Rates
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