Problems with teachers • Too much math details & too little insight • Too much historical inertia • No plots • Too little real data (e.g. all np.random.randn(n, m))
Problems with clients • Everyone is an “expert” • Squeezing one semester (or a few) into a few days (or just one) • Deep learning will solve all our problems • Installation!!!
Logistic Regression vs Random Forest vs Deep Learning https://github.com/szilard/benchm-ml http://datascience.la/benchmarking-random-forest-implementations/