optimization machine learning

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1. 1▶Optimization in Machine Learning (Lecture 11): ApplicationsOptimization in Machine Learning Online ClassNotes
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2. 2▶Optimization in Machine Learning (Lecture 10): Difference of Submodular Opt, SCSC & SCSKOptimization in Machine Learning Online ClassNotes
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3. 3▶Optimization in Machine Learning (Lecture 9):Submodular Maximization and GreedyOptimization in Machine Learning Online ClassNotes
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4. 4▶Optimization in Machine Learning (Lecture 8): Polyhedra, Extensions, and Submodular MinimizationOptimization in Machine Learning Online ClassNotes
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5. 5▶Optimization in Machine Learning (Lecture 7 Continued): Submodular Information MeasuresOptimization in Machine Learning Online ClassNotes
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6. 6▶Optimization in Machine Learning: Lec 7 (Submodular Functions: Definitions, Examples, Properties)Optimization in Machine Learning Online ClassNotes
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7. 7▶Optimization in Machine Learning: Lecture 6.2 (SGD for Deep Learning)Optimization in Machine Learning Online ClassNotes
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8. 8▶Optimization in Machine Learning: Lecture 6.1 (Stochastic Gradient Descent)Optimization in Machine Learning Online ClassNotes
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9. 9▶Optimization in Machine Learning: Lecture 5 (Second Order Methods and Coordinate Descent)Optimization in Machine Learning Online ClassNotes
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10. 10▶Optimization in Machine Learning: Lec 4 (Conditional GD and Projected GD, Quasi-Newton, BFGS etc.)Optimization in Machine Learning Online ClassNotes
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11. 11▶Optimization in Machine Learning: Lec 3 (Gradient Descent Cont., Nesterov's GD, Proximal GD, Demos)Optimization in Machine Learning Online ClassNotes
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12. 12▶Optimization in Machine Learning: Lecture 2 (Convex Functions Cont, Analysis of Gradient Descent)Optimization in Machine Learning Online ClassNotes
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13. 13▶Optimization in Machine Learning: Lecture 1 (Outline, Logistics, Convexity)Optimization in Machine Learning Online ClassNotes
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