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I remember taking Andrew Ng’s (delightful) Coursera ML and believing I knew ML. Then I took a Columbia ML graduate course IRL: it was like being hit by a train
by legel 2y ago
I remember taking Andrew Ng’s (delightful) Coursera ML and believing I knew ML.
Then I took a Columbia ML graduate course IRL: it was like being hit by a train.
- azemetre 2y agoHow would you rate the prerequisites of each course and level of material covered? I've never taken Andrew Ng's ML class, but the impression I get online is that it's great but it's always hard to tell from these positive reviews if the course is just an introductory exploration or something more in-depth.
- lupire 2y ago229 is an intro class for students with no AI or CS theory experience, and basic multivariable calculus and linear algebra.
- lupire 2y ago229 is a 2xx class for advanced undergraduates and beginning graduate students. It's a first course in machine learning with no AI prereqs. What grad class did you take? https://www.cs.columbia.edu/education/ms/machinelearning/ https://www.cs.columbia.edu/education/ms/machinelearning/
- legel 2y agohttps://www.cs.columbia.edu/~jebara/4771/handouts.html https://www.cs.columbia.edu/~jebara/4771/handouts.html
- admdly 2y agoIn my experience, there’s a vast difference between “education” aimed at the individual and what is delivered in accredited academic courses. The commercial aspect / tailoring to get people to buy and stick with it / no doubt is a factor.
- ErikBjare 2y agoTo me that is in large part explained by the fact that most MOOCs are introductory, unlike most graduate courses.