Python+Machine Learning tutorial - Introduction
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Published on ● Video Link: https://www.youtube.com/watch?v=X2H0d_CJx6c
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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microsoft research
machine learning
deep neural networks