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Intro
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Classroom Contents
Learning with Small Data - Part 2
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- 1 Intro
- 2 Predict a ball's trajectory
- 3 Combine machine learning model and domain knowledge model
- 4 Pre-processing and post-processing
- 5 Residual modeling: Predicting the gap between
- 6 Example: predict the temperature of different places on the earth?
- 7 Example: predicting the temperature
- 8 Adding residual works well!
- 9 Predicted results with different models
- 10 Regularization: Using domain knowledge as regularization
- 11 Example: Incorporating Energy Conservation
- 12 Extension: utilizing unlabeled data
- 13 Extension: Incorporating Energy Conservation
