机器学习设计模式(影印版)(英文版)

本书中的设计模式捕 捉了机器学习中反复出现 的问题的最佳实践和解决 方案。作者是谷歌的三名 工程师，他们整理了已证 实的方法，帮助数据科学 家解决整个ML过程中的 常见问题。这些设计模式 将数百位专家的经验编纂 成直接、平易近人的建议 。 在这本书中，你会找 到关于数据和问题表示、 操作化、可重复性、可再 现性、灵活性、可解释性 和公平性的30种模式的详 细解释。每个模式包括对 问题的描述、各种可能的 解决方案，以及针对您的 情况选择最佳技术的建议 。

Preface 1．The Need for Machine Learning Design Patterns What Are Design Patterns? How to Use This Book Machine Learning Terminology Models and Frameworks Data and Feature Engineering The Machine Learning Process Data and Model Tooling Roles Common Chauenges in Machine Learning Data Quality Reproducibility Data Drift Scale Multiple Objectives Summary 2．Data Representation Design Patterns Simple Data Representations Numerical Inputs Categorical Inputs Design Pattern 1： Hashed Feature Problem Solution Why It Works Trade-Offs and Alternatives Design Pattern 2： Embeddings Problem Solution Why It Works Trade-Offs and Alternatives Design Pattern 3： Feature Cross Problem Solution Why It Works Trade-Offs and Alternatives Design Pattern 4： Multimodallnput Problem Solution Trade-Offs and Alternatives Summary 3.Problem Representation Design Patterns Design Pattern 5： Reframing Problem Solution Why It Works Trade-Offs and Alternatives Design Pattern 6： Multilabel Problem Solution Trade-Offs and Alternatives Design Pattern 7： Ensembles Problem Solution Why It Works Trade-Offs and Alternatives Design Pattern 8： Cascade Problem Solution Trade-Offs and Alternatives Design Pattern 9： Neutral Class Problem Solution Why It Works Trade-Offs and Alternatives Design Pattern 10： Re alanang Problem Solution Trade-Offs and Alternatives Summary 4.Model Training Patterns Typical Training Loop Stochastic Gradient Descent Keras Training Loop Training Design Patterns Design Pattern 11: Useful Overfitting Problem Solution Why It Works Trade-Offs and Alternatives Design Pattern 12: Checkpoints Problem Solution Why It Works Trade-Offs and Alternatives Design Pattern 13: Transfer Learning Problem Solution Why It Works Trade-Offs and Alternatives Design Pattern 14: Distribution Strategy Problem Solution Why It Works Trade-Offs and Alternatives Design Pattern 15: Hyperparameter Tuning Problem Solution Why It Works Trade-Offs and Alternatives Summary 5.Design Patterns for Resilient Serving Design Pattern 16: Stateless Serving Function Problem Solution Why It Works Trade-Offs and Alternatives Design Pattern 17: Batch Serving Problem Solution Why It Works Trade-Offs and Alternatives Design Pattern 18: Continued Model Evaluation Problem Solution Why It Works Trade-Offs and Alternatives Design Pattern 19: Two-Phase Predictions Problem Solution Trade-Offs and Alternatives Design Pattern 20: Keyed Predictions Problem Solution Trade-Offs and Alternatives Summary 6.Reproducibility Design Patterns Design Pattern 21: Transform Problem Solution Trade-Offs and Alternatives Design Pattern 22: Repeatable Splitting Problem Solution Trade-Offs and Alternatives Design Pattern 23: Bridged Schema Problem Solution Trade-Offs and Alternatives Design Pattern 24: Windowed Inference Problem Solution Trade-Offs and Alternatives Design Pattern 25: Workflow Pipeline Problem Solution Why It Works Trade-Offs and Alternatives Design Pattern 26: Feature Store Problem Solution Why It Works Trade-Offs and Alternatives Design Pattern 27: Model Versioning Problem Solution Trade-Offs and Alternatives Summary 7.Responsible AI Design Pattern 28: Heuristic Benchmark Problem Solution Trade-Offs and Alternatives Design Pattern 29: Explainable Predictions Problem Solution Trade-Offs and