In the video “Choosing what features to use” Andrew mentions the following:
If you read the machine learning literature, there are some ways to automatically measure how close these distributions are to Gaussian.
Can you point out such literature?
Also, is there a library that, given a feature X, automatically determines the transformation you should make to achieve a Gaussian distribution? e.g. log(x + 1) or x**2 and so on.
It would be very cool!