I am looking for a book&#x2F;online resource that will help learn how to do statistical modelling for difficult cases and use data science tools in practical settings.<p>The books I have seen tend to be one of the following:<p>1) intro-level: basic python&#x2F;R, linear regressors, basic random processes, basic neural network, etc<p>2) research-level theory: advanced statistics, novel machine learning algorithms, etc<p>I am looking for neither.  I am already comfortable with (1) and I used to do research as in (2).  What I am looking for is to gain insights into advanced&#x2F;difficult practical problems.<p>It would be great to see something like a collection of past winners in past Kaggle competitions (there are a few such lists: do you have a favorite list?) or a Beautiful Code equivalent book for data science.<p>Thanks.
Ask HN: Learning advanced practical data science?