For classical (non-machine learning) material, there's the nice text by Ballard and Brown: http://homepages.inf.ed.ac.uk/rbf/BOOKS/BANDB/bandb.htm http://homepa

For classical (non-machine learning) material, there's the nice text by Ballard and Brown: http://homepages.inf.ed.ac.uk/rbf/BOOKS/BANDB/bandb.htm http://homepages.inf.ed.ac.uk/rbf/BOOKS/BANDB/bandb.htm Even if you end up using neural nets, understanding how to think about the problems is useful.