Python+Machine Learning tutorial - Introduction

Published: 22 June 2016
on channel: Microsoft Research

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This session is about getting started with the IPython notebook and a quick introduction to numpy for matrix operations and matplotlib for visualization. We will then give a general introduction to the scikit-learn project and API and Machine Learning concepts such as supervised vs unsupervised learning, classification vs regression. We will explore a first couple of examples on homogeneous data loaded as numpy arrays with linear models and kernel Support Vector Machines.

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