(my philosophy: teach math using english)
Recipient of Machine Learning Department's Best TA Award, for the following contributions and student feedback.
is a set of short remedial videos
that are suitable to review pre-requisite material
(that one has learnt but forgotten)
before an introductory graduate course in machine learning.
There are 4 sets of videos - one each on multivariate calculus,
multivariate probability/statistics, real/functional analysis
and the singular value decomposition.
Each set consists of 3 videos, usually around 12-15 minutes long. All videos are hosted on Youtube, and the videos page
has a description of prerequisites for the videos and what they cover.