03 Aug 2019 - Rahul Raj
“A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at tasks in T, as measured by P, improves with experience E.”
This is how Tom Mitchelle defines Machine Learning. It is essentially art and science of designing adaptive algorithms. In other words, Designing algorithms that ingest data and learn a (hypothesized) model of the data. This model can then be used to detect patterns, predict future data points, help in decision making, etc.
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