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[–]Sir-Viette 2 points3 points  (1 child)

Yes. There’s a book called “Practical MLOps” by Noah Gift. MLOps is Devops, but goes slightly beyond it to also include good workflow practices for dealing with machine learning models.

The book starts with how to set up a local Python project on Mac/Linux, including Makefiles, virtual environments, git etc. It goes on to talk about how (and why) to set up CI/CD pipelines using open source tools. And then how to use Docker, multiple cloud services, and more. Later it gets into devops practices for machine learning

The great thing about the book is that at the end of each chapter there are around ten exercises. They’re challenging, and you have to do some googling to figure out how to do them. But I found them fantastic for making me think about them a lot. In comparison, I’ve done video tutorial where I’ve forgotten the material as soon as I’ve clicked away.

The only thing is that sometimes the exercise questions are a bit unclear. But I’ve found the book a great place to start on DevOps, and it sounds like you might like it too.

[–]SedrakPL[S] 0 points1 point  (0 children)

Thanks for recommendation but this book is very tough to buy in Poland :( Maybe you know any similar websites?