Data-Driven Science and Engineering 2nd Edition [pdf]
I am looking for a book and resource for (advanced) data science.  I understand there are numerous ML books and articles discussing algorithms at all levels; there are also numerous introductory books on data science, e.g. how to call functions in sklearn.  What I am looking for is a book on data exploration, data modeling, and prediction error analysis; with some level of rigor in both theory and implementation.<p>Any recommendation for such a book or resource?<p>DatabookV2 discussed here looks great for natural science + ML.  It reminds me of this widely-cited paper<p>A high-bias, low-variance introduction to Machine Learning for physicists
<a href="https://arxiv.org/abs/1803.08823" rel="nofollow noreferrer">https://arxiv.org/abs/1803.08823</a>