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# Resources
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**Riferimenti**
+ David Nigenda, Zohar Karnin, Muhammad Bilal Zafar, Raghu Ramesha, Alan Tan, Michele Donini e Krishnaram Kenthapadi. 2022. «Amazon SageMaker Model Monitor: un sistema per approfondimenti in tempo reale sui modelli di Machine Learning distribuiti»: [arXiv:2111.13657](https://arxiv.org/abs/2111.13657).
+ Richard Meyes, Melanie Lu, Constantin Waubert de Puiseau e Tobias Meisen. 2019. [«Studi di ablazione in reti neurali artificiali»: arXiv:1901.08644.](https://arxiv.org/abs/1901.08644)
+ Brian Babcock, Mayur Datar e Rajeev Motwani. [«Campionamento da una finestra mobile su dati in streaming»: Princeton University.](https://www.cs.princeton.edu/courses/archive/spr04/cos598B/bib/BabcockDM.pdf)
+ Chip Huyen. [https://www.amazon.com/Designing-Machine-Learning-Systems-Production-Ready/dp/1098107969](https://www.amazon.com/Designing-Machine-Learning-Systems-Production-Ready/dp/1098107969). Sebastopoli, California: O'Reilly Media, 2022.
+ Cathy Chen, Niall Murphy, Kranti Parisa, D. Sculley e Todd Underwood. [https://www.amazon.com/Reliable-Machine-Learning-Principles-Production/dp/1098106229](https://www.amazon.com/Reliable-Machine-Learning-Principles-Production/dp/1098106229). Sebastopoli, California: O'Reilly Media, 2022.

**Lettura aggiuntiva**
+ [AWS Well-Architected Framework: Lente per il Machine Learning](https://docs.aws.amazon.com/wellarchitected/latest/machine-learning-lens/machine-learning-lens.html)
+ [Rileva la deriva dei dati NLP utilizzando Amazon SageMaker Model Monitor personalizzato](https://aws.amazon.com/blogs/machine-learning/detect-nlp-data-drift-using-custom-amazon-sagemaker-model-monitor/) (post sul blog)
+ [ A/B Test dinamici per modelli di machine learning con SageMaker MLOps progetti Amazon](https://aws.amazon.com/blogs/machine-learning/dynamic-a-b-testing-for-machine-learning-models-with-amazon-sagemaker-mlops-projects/) (post sul blog)

**Strumenti**
+ [Amazon SageMaker](https://docs.aws.amazon.com/sagemaker/latest/dg/whatis.html)
+ [Controllo della versione dei dati (DVC)](https://github.com/treeverse/dvc)

**Consulenza**
+ [AWS Servizi professionali](https://aws.amazon.com/professional-services/)