Applied Machine Learning. Lecture 2. Part 3: Anatomy of Supervised Learning: Learning Algorithms

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Volodymyr Kuleshov

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Thank you for the videos. I was looking for such a course recently and im glad I found it

AlboCoder

The content is good and useful. Unfortunately too many errors and mistakes in the python notebooks in Github. For example, in logistic regression clf.predict() line, arguments are missing. Second, in 2.2.5 Feature Matrix, you mention Rn*d matrix, but actually show a Rd*n matrix. Can you please fix these errors

SandeepGupta-ocub

In minute 6:37, the second equation M is equal or a subset ?

ronaldonunes

Are there guidelines for choosing an objective function, based on the type of problem that you are trying to solve? In which cases should one choose Absolute (L1) error over MSE, for example?

leeboleebo

at 8:18, x is featurized input right? not output?

mamadebugs

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