- 3 reviews
- 3 completed
One of the best classes I've taken. Ng provides excellent intuition for the algorithms he covers. The practical advice on designing machine learning pipelines in the latter part of the course is perhaps the best part. One downside is that some important machine learning techniques like decision trees and ensemble methods are not covered - I would love to see a "Machine Learning II" course by Ng
Didn't do the homeworks, so I'm rating only the lectures, which I found to be great. Hinton is a great lecturer and discusses cutting-edge techniques. Hinton's dry wit makes many of the lectures extremely funny as well.
Lots of math, but few examples of how to apply it. Homework assignments are terrible - more than half the time is spent figuring out the intricacies of the ad-hoc data structures used rather than applying the techniques learned in class.