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Permalink Reply by Vincent Granville on May 6, 2012 at 10:07am

For many, machine learning is mostly techniques that in one way or another, perform supervised clustering using cross-validation, training sets and predictive modeling. Techniques can be statistics, SVM, neural networks, AI, pattern recognition, association rules, etc. Output can be a keyword taxonomy, stock trading system, transaction scores, automated medical diagnosis etc.

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Permalink Reply by Michael J McNab on May 7, 2012 at 2:08pm

Paraphrasing a simple definition from the Stanford ML course ... as taught by Andrew Ng ... 'Machine learning is the science of getting computers to generate results they have not been explicitly programmed to generate.'

 

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