Summary and practices of ML Design Patterns book
Chapter | Title | Design Patterns |
---|---|---|
Chapter 1 | The Need for ML Design Patterns | |
Chapter 2 | Data Representation Design Patterns | Simple Data Representation Hashed Feaure Embeddings Feature Cross Multimodal Input |
Chapter 3 | Problem Representation Design Patterns | Reframing Multilabel Ensemble Cascade Neutral Class Rebalancing |
Chapter 4 | Model Training Design Patterns | Useful Overfitting Checkpoints Transfer Learning Distribution Strategy Hyperparameter Tuning |
Chapter 5 | Design Patterns for Resilient Serving | Stateless Serving Function Batch Serving Continued Model Evaluation Two-Phase Prediction Keyed Prediction |
Chapter 6 | TBA |