He was second author on the AlexNet paper, wherein Alex Krizhevsky, Sutskever and Hinton blew everyone else out of the water on the ImageNet competition [2]. Their error rate was about 10 percentage points lower than others. Relatively speaking they had about 40% fewer errors than anyone else. This is possibly the biggest result in computer vision the last five years. So it seems a little silly to educate him on the basics of machine learning :)

[1] http://www.cs.toronto.edu/~fritz/absps/imagenet.pdf

[2] http://www.image-net.org/challenges/LSVRC/2012/results.html