Multiclass Classification Machine Learning - Stanford University | Coursera by Andrew Ng Please visit Coursera site: www.coursera.org Learn Machine Learning for free.
I did not get one thing...Suppose for a classification we get the max probability..then we wd be classifying only one class separately and rest 2 as another...but how are we classifying all 3 separately??
instead of using superscript and subscript terms , had it been explained like start with the gist of what this algorithm does and then using math plus superscript , would help holding the audience and also motivating the audience to continue watching
@@ofathy1981 Theta does not represent the learning rate, instead it represents the parameters of the model (e.g. the weights). So P(y | x; θ) translates to English as "The probability of *y* given *x* , parameterized by *θ* ".
