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Summary
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Classroom Contents
Optimal Learning from Data
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- 1 Intro
- 2 The Learning Problem
- 3 Mathematical Questions
- 4 Optimal Learning
- 5 The Numerical Challenge
- 6 Take aways from this Theorem
- 7 Quantified Performance
- 8 Point Evaluations
- 9 Similar Theory
- 10 Noisy Measurements
- 11 Solving the optimization problem
- 12 Data Sites: Do We Have Enough Data
- 13 The Stochastic Setting
- 14 Deep Learning (DL)
- 15 Other Numerical Objections
- 16 No Model Class or Penalty
- 17 Bridging the Gap
- 18 Summary
