Large Scale Machine Learning

 

 

Assuming that you have a very large training set, which of the

following algorithms do you think can be parallelized using

map-reduce and splitting the training set across different

machines? Check all that apply.

Linear regression trained using batch gradient descent.

A neural network trained using batch gradient descent.