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Introduction

Machine learning refers to information processing algorithms that are designed by learning from data, not by physical models. Examples of supervised machine learning tasks include classification, regression, and examples of unsupervised tasks include clustering and principle components analysis (PCA). Since this course will be taught in Python, we present a Jupyter Notebook demonstration of vector processing using the numpy library.