I work in the fields of theoretical CS, formal verification, and symbolic AI. Here's my DBLP link to have a picture of my background: DBLP

Can you suggest me resources (good graduate-level textbooks) to learn modern machine learning in a principled way sufficient to get up and running to understand current research on the topic?

I'm interested both in a thorough theoretical background as well as some practical skills (probably the two from different resources).



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