why should you draw an i.i.d sample is gradient descent a parameterized conditional model how do i draw a gradient from the joint distribution? what is stochastic gradient descent what does the stochastic gradient descent model do why is it important to draw a sample during a gradient descent why do we draw each sample from the y_i$ how to make stochastic gradient descent which gradient gradient is used to train the model of p(y/x) what is a stochastic gradient gradient what does stochastic gradient descent use if y y is a conditional model, what is the draw rate what is the purpose of stochastic gradient descent how to draw from a stochastic gradient when a stochastic gradient descent is applied to a conditional model if p(x) is a conditional model, how does the stochastic gradient descent differ from the training sample? is gradient descent an approach can a stochastic gradient descend from a data set can p(y)|x be trained by stochastic gradient descent can you draw a p(x) from an indexed data distribution