A short essay on the advantages and limitations of the two most basic learning approaches and how to mix them for crafting an optimal learning experience.
Thanks for your kind feedback! I'd love to know more about your approach, what do you think works best for you in terms of effective learning? I'm sure other readers would like to know as well ;)
Interesting challenge! I would start with a Naive Bayes spam detector, and almost surely would try to go up to a (simple) generative language model. Still have to figure out what to do in between.
I appreciate this insight. I’m working through a competency based MBA program and designed a study approach for my adhd brain
Thanks for your kind feedback! I'd love to know more about your approach, what do you think works best for you in terms of effective learning? I'm sure other readers would like to know as well ;)
It would be interesting to know what would be your options for practical projects in a regular 16-week course when teaching Probabilities.
Interesting challenge! I would start with a Naive Bayes spam detector, and almost surely would try to go up to a (simple) generative language model. Still have to figure out what to do in between.
I love this!
Thanks man :)