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Learning\n#### Classification\n#### [Regression](02_supervised_learning/regression/)\n  * [Linear Regression](02_supervised_learning/regression/linear-regression/)\n\n### Unsupervised Learning\n#### [Anomaly Detection](https://github.com/rosa-lpz/machine-learning-handbook/tree/86ab14e821cd6e104f310d0e1f1d59b3d0488efe/Unsupervised%20Learning/Anomaly%20Detection)\n\n\n\n# What Is Machine Learning?\nMachine learning is the science (and art) of programming computers so they can\nlearn from data.\n\nHere is a slightly more general definition:\n  [Machine learning is the] field of study that gives computers the ability to learn\nwithout being explicitly programmed.\n—Arthur Samuel, 1959\n\nAnd a more engineering-oriented one:\n  A computer program is said to learn from experience E with respect to some task\nT and some performance measure P, if its performance on T, as measured by P,\nimproves with experience E.\n—Tom Mitchell, 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