Write a function to generate a training set of size m randomly generate a weight vector w ER 10, normalize length generate a training set {(x;, y;)} of size m x;: random vector in R 10 from N(0, 1) Yi: {0, +1} with P[y = +1] = o(w Xi) and P[y = 0] = 1 - (w x;) In [2]: def generate_data(m): # returns the true w as well as X, Y data