Ask HN: What's your favorite online course?
21–30 of 167 posts
Re: Ask HN: What's your favorite online course?
#22I haven't taken many online courses, but here are my favorites (notice a trend): Andrew Ng's ML Class - This makes the list because it is incredibly useful. I didn't have much background in the field and this class is a practical survey of ideas. Not a ton of depth, but exposes you to a lot of information gently. Daphne Koller's PGM Class - This was the most rewarding. I banged my head on a lot of this material, but…
Re: Ask HN: What's your favorite online course?
#23Re: Ask HN: What's your favorite online course?
#24Re: Ask HN: What's your favorite online course?
#25It's the only MOOC I've taken that was anywhere close to the kind of experience I had as an actual undergraduate at MIT. Outstanding lectures with accompanying lecture notes, challenging but rewarding problem sets, lots of interaction by the professor and other staff in the forums.
It's not a course in the sense of having problem sets and grades, but V. Balakrishnan's lecture series on classical physics (https://www.youtube.com/playlist?list=PL5E4E56893588CBA8) is amazing, just incredibly dense with insight.
Re: Ask HN: What's your favorite online course?
#26Re: Ask HN: What's your favorite online course?
#27Re: Ask HN: What's your favorite online course?
#28https://www.coursera.org/course/rprog - This is the best online course I've taken. Another one I am signed up for and have already done one week of lectures (preview mode) and find very applicable is https://www.coursera.org/learn/learning-how-to-learn/
Interestingly we get a lot of mixed reviews for R Prog course: https://www.class-central.com/mooc/1713/coursera-r-programmi... Learning how to learn is the best course online that any one can take.
Even with some R experience I didn't feel like I got enough information from the R Prog lectures to complete the assignments.
Re: Ask HN: What's your favorite online course?
#29Re: Ask HN: What's your favorite online course?
#30Discrete Optimization https://www.coursera.org/course/optimization -- I really enjoyed this challenging class with a very dynamic teacher, and organized around a set of tough problems that you can tackle using a choice of optimization paradigms (e.g. you can decide to "specialize" in "local search" if you want, and try to solve eveything with it).