AEC Posted August 18, 2020 Share Posted August 18, 2020 (edited) DD16 (jr this year) is looking for a 1-semester course that's 'mathy'. Myself, and probably 90% of my coworkers, have at some point taken Andrew Ng's excellent Coursera ML class, so I was wondering about that. https://www.coursera.org/learn/machine-learning the linAlg required is light, and there's a review section in the class. She's never seen MATLAB or linear algebra beyond the treatment of matrices in the AoPS series, so I suspect the 54 hour completion time estimate is low. If it took 75 hours or 100 hours...enough for a 1/2 year class credit? Am I thinking about this incorrectly in weighing time spent? Other thoughts on using a coursera class as a HS course? Edited August 18, 2020 by AEC Quote Link to comment Share on other sites More sharing options...
klmama Posted August 18, 2020 Share Posted August 18, 2020 (edited) 60 hours is what I consider minimum for half a credit. Since the course states 54 hours and she likely will need to spend more, half a credit seems reasonable to me. ETA: I can see being concerned about it being too light, though, as we usually spend around 225 hours on a math credit. Is there a written resource you could include to help with understanding or extra practice to bring it up to 75 hours? Edited August 18, 2020 by klmama Quote Link to comment Share on other sites More sharing options...
AEC Posted August 18, 2020 Author Share Posted August 18, 2020 yeah - that would be easy. Some practical application of ML on public datasets, for example. (train a predictor for local county covid infection rates would be easy to setup and relevant) Quote Link to comment Share on other sites More sharing options...
Recommended Posts
Join the conversation
You can post now and register later. If you have an account, sign in now to post with your account.