I recently got a review copy of Statistics, Data Mining, and Machine Learning in Astronomy. I’m sure the book is especially useful to astronomers, but those of us who are not astronomers could use it as a survey of data analysis techniques, especially using Python tools, where all the examples happen to come from astronomy. It covers a lot of ground and is pleasant to read.
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Pretty good balance of depth and breadth. Having the AstroML code be open source is great. I wish there was more on neural networks (e.g., CNNs, GANs), which are mentioned in the book as if they were explained, but actually are not touched upon. Also, there is a lot of mention of cross-validation before the term is ever defined. Overall a very solid stats and ML reference.