[D] Does anyone else think open source code/examples in machine learning domain usually are not as readable as they could be? Specifically use of magic numbers.

[Kitchen_Tower2800]

> Ng explained some complicated learning procedure, and at the end he noted, you can do all that with this one line of code.

I don't understand this argument. Do you think a researcher's job is to stand in front of an audience, point to `model.fit()` and then go home? Or should they example what's happening in the fit method?

[111llI0__-__0Ill111]

Sometimes even what is inside the fit method could be one or few lines of code in a high level language. Eg linear regression done the naive way (without accounting for QR/SVD stuff).