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 favourite books? I’m fairly language-agnostic (R would be preferred with Python a runner up, but again, I’m more interested in how well the theory is laid out). Cheers!