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It's new to me! It certainly looks good, or at least like something that could be increasingly useful to an increasingly large group of people. But it's a whole book and I have only a few minutes' break to check HN, so I can't evaluate it for quality until I've had a chance to read it (and I definitely will, because it looks useful to me). I assume, being new, few other people have experience with it to comment. And fortunately whenever actual math and code show up, the AI maximalist/doomer blabbermouths tend to stay away.


I’ve had a skim through bits. It look good and thorough for ML Engineer / Data Engineer stuff.

Definitely recommend checking it out yourself, even if it’s only to bookmark for sending onto others as a reference manual.

> And fortunately whenever actual math and code show up, the AI maximalist/doomer blabbermouths tend to stay away.

When I see something mentioning machine learning + engineering, I’m interested.

When I see AI mentioned I automatically discount it as marketing fluff.

It’s worked well as a filter for almost 10 years now (the last hype cycle).




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