Recently, Professor Pedro Domingos, one of the top machine learning researchers in the world, wrote a great article in the Communications of the ACM entitled “A Few Useful Things to Know about Machine Learning“. In it, he not only summarizes the general ideas in machine learning in fairly accessible terms, but he also manages to impart most of the things we’ve come to regard as common sense or folk wisdom in the field.
It’s a great article because it’s a brilliant man with deep experience who is an excellent teacher writing for “the rest of us”, and writing about things we need to know. And he manages to cover a huge amount of ground in nine pages.
Now, while it’s very light reading for the academic literature, it’s fairly dense by other comparisons. Since so much of it is relevant to anyone trying to use BigML…
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