[ml][links]
Good friend of mine just passed Google ML certification. He prepared some materials he found useful during that journey:
https://iron-football-358.notion.site/GCP-ML-Engineer-notes-d13654b2ef0749808ea525370cc24071
Good friend of mine just passed Google ML certification. He prepared some materials he found useful during that journey:
https://iron-football-358.notion.site/GCP-ML-Engineer-notes-d13654b2ef0749808ea525370cc24071
Egor's Notion on Notion
GCP ML Engineer notes
Note, that this collection of links and topics does not cover the ML/DL part of the exam, in order to prepare for that I’d recommend reading through the book “Geron Aurelien. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow” and doing some…
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[book][refactoring]
There is a book about refactoring with a good list of links:
https://github.com/bespoyasov/refactor-like-a-superhero-online-book/blob/main/manunoscript-en/23-sources.md
There is a book about refactoring with a good list of links:
https://github.com/bespoyasov/refactor-like-a-superhero-online-book/blob/main/manunoscript-en/23-sources.md
GitHub
refactor-like-a-superhero/manunoscript-en/23-sources.md at main · bespoyasov/refactor-like-a-superhero
How to refactor code efficiently and without pain. - bespoyasov/refactor-like-a-superhero
[javanoscript][visualized]
The best explanations I’ve seen so far.
https://dev.to/lydiahallie/series/3341
The best explanations I’ve seen so far.
https://dev.to/lydiahallie/series/3341
DEV Community
JavaScript Visualized Series' Articles
View JavaScript Visualized Series' Articles on DEV Community
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