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Machine Learning Design Patterns.

Summary and practices of ML Design Patterns book

bookcover

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

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