> 229A is close to worthless
> This course included gems such as "if you don't know what a derivative is, that is fine".
It also included other gems like debugging models with learning curves, stochastic gradient descent, artificial data and ceiling analysis. I have not come across practical things like these in more mathematically oriented ML books that I have tried reading in the past.
Interestingly, your arrogance is in sharp contrast with the humility of the professor, where he admits in places that he went around using tools for a long time(like SVM) without fully understanding the mathematical details.
Comments
> 229A is close to worthless > This course included gems such as "if you don't know what a derivative is, that is fine".
It also included other gems like debugging models with learning curves, stochastic gradient descent, artificial data and ceiling analysis. I have not come across practical things like these in more mathematically oriented ML books that I have tried reading in the past.
Interestingly, your arrogance is in sharp contrast with the humility of the professor, where he admits in places that he went around using tools for a long time(like SVM) without fully understanding the mathematical details.