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Classroom Contents
Mapping from Training Data to Predictions with Datamodels - Differential Privacy in Machine Learning
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- 1 Introduction
- 2 Anatomy of a Machine Learning Prediction
- 3 Datamodels
- 4 Machine Learning Pipeline
- 5 Model Output Function
- 6 Generating Data
- 7 Linear Model
- 8 Training Set
- 9 Constructing Data Models
- 10 Evaluating Data Models
- 11 Applications
- 12 Model Brittleness
- 13 Data Counterfactuals
- 14 Example Embedding
- 15 Natural Similarity Metric
- 16 Spectral Clustering
- 17 Takeaways
