Published by Equipo GNOSS
26/01/2017
"Machine Learning and other statistical algorithms are like muscles. How you train a statistical algorithm makes all the difference in how well it performs the task for which it was constructed. You could say training an algorithm is a bit like conditioning your muscles in a gym. It can only be considered fit for the specific function for which its been trained. Typically its strength in a particular function—such as classifying customers for target marketing or predicting whether they will accept your offer—does not carry over to other tasks for which you might wish to repurpose it. For other uses, the algorithm, if not rejiggered and retrained, may be entirely useless." Read more...