I just lost my morning skimming through this book. It looks like there are a lot of other good books among this collection.
It won't be possible to go through all, but are there are any recommendations from HN? Personally, I have come across Elements of Statistical Learning[1], Recommender Systems[2], The Algorithm Design Manual[3] in many recommended lists.
I can second a recommendation of the Elements of Statistical Learning. It's well presented, self contained and features good exercises. It may also be slightly different in presentation from most books on ML because the authors are all professors of statistics, instead of CS. (But, it is NOT a classical statistics textbook.)
It won't be possible to go through all, but are there are any recommendations from HN? Personally, I have come across Elements of Statistical Learning[1], Recommender Systems[2], The Algorithm Design Manual[3] in many recommended lists.
1. http://link.springer.com/openurl?genre=book&isbn=978-0-387-8...
2. http://link.springer.com/openurl?genre=book&isbn=978-3-319-2...
3. http://link.springer.com/openurl?genre=book&isbn=978-1-84800...