There is a thread here on ML books:
We've had some great threads on books for learning statistics and other topics recently! Machine learning is obviously a massive trend right now, and packages like keras look super exciting.
The trouble is, I have zero background in this stuff, and seeing some minimal examples of a package running isn't really the same as understanding what machine learning is trying to achieve and how it's going about it (perhaps contrasted with, say, regression modelling, which I feel I understand pretty well). I'm looking for some summer reading material (since, y'know, it's not like I have a thesis to submit or anything ) to take me a bit further than the ML elevator pitch. Does anyone have any fa…
As discussed elsewhere there have been many computer science people who have moved into data science in recent years for whom python would be the more natural choice, so hence the growth.
More generally, I would ignore most things on kdnuggets.
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