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Santiago Viquez

santiviquez

https://www.santiviquez.com/

AI & ML interests

ML @ NannyML. Writing "The Little Book of ML Metrics" at https://github.com/NannyML/The-Little-Book-of-ML-Metrics

Recent Activity

posted an update about 1 month ago

Professors should ask students to write blog posts based on their final projects instead of having them do paper-like reports. A single blog post, accessible to the entire internet, can have a greater career impact than dozens of reports that nobody will read.

posted an update about 1 month ago

Some exciting news... We are open-sourcing The Little Book of ML Metrics! 🎉 The book that will be on every data scientist's desk is open source. What does that mean? It means hundreds of people can review it, contribute to it, and help us improve it before it's finished! This also means that everyone will have free access to the digital version! Meanwhile, the high-quality printed edition will be available for purchase as it has been for a while. Revenue from printed copies will help us support further development and maintenance of the book. Not to mention that reviewers and contributors will receive revenue sharing through their affiliate links. 🙌 Check out the book repo (make sure to leave a star 🌟): https://github.com/NannyML/The-Little-Book-of-ML-Metrics

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Articles

I ran 580 model-dataset experiments to show that, even if you try very hard, it is almost impossible to know that a model is degrading just by looking at data drift results

Jun 3

Are your NLP models deteriorating post-deployment? Let’s use unlabelled data to find out

Nov 16, 2023

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Posts 26

Post

1487

Professors should ask students to write blog posts based on their final projects instead of having them do paper-like reports.

A single blog post, accessible to the entire internet, can have a greater career impact than dozens of reports that nobody will read.

Post

464

Some exciting news...

We are open-sourcing The Little Book of ML Metrics! 🎉

The book that will be on every data scientist's desk is open source.

What does that mean?

It means hundreds of people can review it, contribute to it, and help us improve it before it's finished!

This also means that everyone will have free access to the digital version!

Meanwhile, the high-quality printed edition will be available for purchase as it has been for a while.

Revenue from printed copies will help us support further development and maintenance of the book. Not to mention that reviewers and contributors will receive revenue sharing through their affiliate links. 🙌

Check out the book repo (make sure to leave a star 🌟):

https://github.com/NannyML/The-Little-Book-of-ML-Metrics

View all posts