Submitted by 4bedoe t3_yas9k0 in MachineLearning
Real_Revenue_4741 t1_itdehtz wrote
Reply to comment by hellrail in [D] What things did you learn in ML theory that are, in practice, different? by 4bedoe
It should be from MIT (try copying/pasting the address linked above)
hellrail t1_itewyaw wrote
One thing i must add regarding the topic of presentation as "established knowledge".
The lecture you quoted, is lecture number 12. It is embedded in a course. There are of course lecture 11, 10, 9 etc. If you check these, which are also accessible with slightly midifying the given link, you see the context of this lecture. Specifically, a bunch of classifiers are explicitly introduced, and the v-dim theory on lecture 12 are still valid of these. The course does not adress deep networks yet.
So its a bit unfair to say these lecture does teach you a theory that deviates. Its does not deviate for the there introduced classifiers.
Viewing a single comment thread. View all comments