[geezerjay]

> There's been a lot of research into teaching strategies that shows that this is often a more effective approach for many people than the bottom up approach widely used in math and CS.

I seriously doubt that anyone can effectively learn linear algebra, multivariate calculus, optimization and regression models from an onlone tutorial on deep learning. These are subjects whose basics alone take multiple semester-long courses. If a bottom-down approach was remotely effective, no one would bother teaching the basics.

[gumballhead]

Do you think it's necessary to have a rigorous understanding of all of those topics before creating a machine learning model? And that you don't learn from interacting with it, even if you don't fully understand how it works? For machine learning in particular I think that's pretty ironic.

[olingern]

> If a bottom-down approach was remotely effective, no one would bother teaching the basics.

This is a purist approach.

Sometimes, you sacrifice the details to broaden the audience. This has the result of getting more people interested.