So as a math student, I’ve always had an interest in Big Data. So I decided to take a Stanford course online on Machine Learning!

This first question, what is Machine Learning?

The definition is “The computer program is said to learn from experience E with respect to some task T and some performance measure P, if its performance on T, as measured by P, improves with experience E.”

In other words…Machine Learning is the ability for computers to *learn without explicitly being programmed*. You can split this learning into categories of Supervised and Unsupervised learning.

For *Supervised *learning, we observe a “right answer” using some form of regression analysis.

For *Unsupervised *learning, we give an algorithm a bunch of data, and ask the algorithm to find structure in the data.

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