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7/10 starsCompleted
5 years, 5 months ago
The lectures are great, and the class covers a number of essential concepts in ML in much gory detail. Unfortunately, everything else in this class was rather disappointing. The translation to edX platform w... The lectures are great, and the class covers a number of essential concepts in ML in much gory detail. Unfortunately, everything else in this class was rather disappointing. The translation to edX platform was an afterthought, and the homeworks are a mess: there's no opportunity to practice unless you come up with practice problems of your own, problem statements can be a bit on the undecipherable side, and with just one attempt there's no chance to recover from your mistakes. Lack of immediate feedback doesn't help there either. If you want to audit, this will be a great experience. Otherwise, prepare for some pain.
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10/10 starsCompleted
  • 1 review
  • 1 completed
1 year, 10 months ago
This is really an excellent course. It gives a real understanding of the basic concepts and methods in the world of machine learning. But this understanding is achieving through hard work, challenging tasks ... This is really an excellent course. It gives a real understanding of the basic concepts and methods in the world of machine learning. But this understanding is achieving through hard work, challenging tasks are available. And complexity is not an end in itself, tasks are chosen so that the solution leads to an improvement in the conceptual understanding of things. The lion's share of tasks requires setting up a computational experiment, so without good programming skills this course can become an excessive load. The lecturer talks about the material not dispassionately, but as something very pleasant and interesting for himself. This greatly enhances the effect of perfectly prepared lectures.
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