Review 16 [coursera] Machine learning - Stanford University - Andrew Ng

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.

 

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