4 ms·
> But there's a good case to be made that machine learning introductions should always be done like this : linear classifier (when that works) -> SVM (when that
by tomjakubowski 9y ago
> But there's a good case to be made that machine learning introductions should always be done like this : linear classifier (when that works) -> SVM (when that works) -> NN -> Deep learning.
Do you know of an ML introduction course/book/site that follow this order?
- denzil_correa 9y agoYou can get Linear -> SVM -> Neural Networks on Andrew Ng's Machine Learning course at Coursera CS229A. You could then go advanced with CS229 from Stanford "Academic Earth".