Python+Machine Learning tutorial – Introduction
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.
Speaker Details
Olivier Grisel is a software engineer in the Parietal team of Inria. He works to improve the speed and scalability of the scikit-learn machine learning library for the Python / Numpy / Scipy ecosystem. He also likes to share interesting Machine Learning papers and tricks on twitter: @ogrisel
- Date:
- Speakers:
- Olivier Grisel
- Affiliation:
- INRIA
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Jeff Running
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