had a really odd dream that I co-founded a startup

pitch: applying transfer learning concepts to education

(ex: if you're an engineer who is adept at natural language processing, what additional machine learning concepts would you need to master to solve computer vision tasks?)
🧠 we used @KhanAcademy data to train the models (zero idea how imaginary-startup got access to it, but 🤷‍♀️)

the dream ended with our acquisition by @Coursera, who eventually seized complete control of the undergraduate (101- and 201-level) and enterprise education markets 💪
learning paths were also personalized for each user

so if Billy learned best when reading, then trying a hands-on activity, then a video + another hands-on activity, that was his path

but if Maria could grok concepts with only a hands-on activity, that was her curriculum design
we also clustered similar @StackOverflow questions to create FAQs for each of the courses' modules

ex: if we noticed a student repeatedly having issues with Tensor shapes in the hands-on exercises, we'd pause and introduce a more in-depth overview of dimensionality + its impact
📚 at any rate, sure was a heck of a dream to kick off 2019

If you're interested in intelligent instruction, two researchers I ❤️: Mike Mozer from @CUBoulder, and Rick Baraniuk from @RiceUniversity (creator of @cnxorg / @openstax)

cs.colorado.edu/~mozer/About%2…
richb.rice.edu
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