Conference video from ODSC West 2017: Introduction to Machine Learning with scikit-learn – Andreas Mueller, PhD

This talk gives a general introduction to machine learning, as well as introduces practical tools for you to apply machine learning in your research. We focus on one particularly important subfield of machine learning, supervised learning. The goal of supervised learning is to “learn” a function that maps inputs x to an output y, by using a collection of training data consisting of input-output pairs. We walk through formalizing a problem as a supervised machine learning problem, creating the necessary training data and applying and evaluating a machine learning algorithm.

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