How to Speed up Machine Learning using a Set-Oriented Approach
The detail article for Need faster machine learning? Take a set-oriented approach, which I mentioned in a separate post.
Well, somewhat more detail.
Gives new meaning to pseudo-code:
The application side becomes:
Computing the model:
Fetch “compute-model over data items”
Classifying new items:
Fetch “classify over data items”
I am reminded of the cartoon with two people at a blackboard and one of them says: I think you should be more explicit in step two., where the text reads: Then a miracle occurs.
How about you?