リソース

David Nigenda、Zohar Karnin、Muhammad Bilal Zafar、Raghu Ramesha、Alan Tan、Michele Donini、Krishnaram Kenthapadi。2022 年。「Amazon SageMaker Model Monitor: A System for Real-Time Insights into Deployed Machine Learning Models」: arXiv:2111.13657

Richard Meyes、Melanie Lu、Constantin Waubert de Puiseau、Tobias Meisen。2019 年。「Ablation Studies in Artificial Neural Networks」: arXiv:1901.08644

Brian Babcock、Mayur Datar、Rajeev Motwani。「Sampling From a Moving Window Over Streaming Data」: プリンストン大学。

Chip Huyen。Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications。Sebastopol、カリフォルニア: O'Reilly Media、2022 年。

Cathy Chen、Niall Murphy、Kranti Parisa、D. Sculley、Todd Underwood。Reliable Machine Learning: Applying SRE Principles to ML in Production。Sebastopol、カリフォルニア: O'Reilly Media、2022 年。

AWS Well-Architected フレームワーク: Machine Learningレンズ

Detect NLP data drift using custom Amazon SageMaker Model Monitor (ブログ記事)

Dynamic A/B testing for machine learning models with Amazon SageMaker MLOps projects (ブログ記事)

Amazon SageMaker

Data Version Control (DVC)

AWS [プロフェッショナルサービス]