Introduction to Machine Learning in Python with Scikit-Learn

This talk will introduce scikit-learn, an Open Source project for Machine Learning in Python and review some new features from the recent 0.15 release: faster randomized ensemble of decision trees and optimization for the memory usage when working on multiple cores. Finally we will demo the typical usage of scikit-learn for interactive predictive analytics in combination with other open source projects from the Python ecosystem namely: numpy, matplotlib, pandas and IPython notebook.

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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