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hellrail t1_itde28m wrote

Reply to comment by Real_Revenue_4741 in [D] What things did you learn in ML theory that are, in practice, different? by 4bedoe

Then please point mento the right slide by gibing the slide number

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Real_Revenue_4741 t1_itdehtz wrote

It should be from MIT (try copying/pasting the address linked above)

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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.

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