Machine Learning with Python and scikit-learn

Episode #31, published Tue, Oct 27, 2015, recorded Fri, Sep 25, 2015

Machine learning allows computers to find hidden insights without being explicitly programmed where to look or what to look for. Thanks to the work of some dedicated developers, Python has one of the best machine learning platforms called scikit-learn. In this episode, Alexandre Gramfort is here to tell us all about scikit-learn and machine learning.

Links from the show:

scikit-learn: scikit-learn.org
Alexandre's website: alexandre.gramfort.net
Alexandre on Twitter: @agramfort
Novel Machine Learning: forbes.com/sites/85broads/2014/01/06/six-novel-machine-learning-applications
Kaggle competitions: kaggle.com
scikit-learn on github: github.com/scikit-learn/scikit-learn
scikit-learn datasets: scikit-learn.org/stable/datasets

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Alexandre Gramfort

Alexandre Gramfort is currently an assistant professor at Telecom ParisTech and scientific consultant for the CEA Neurospin brain imaging center. His work is on statistical machine learning, signal and image processing, optimization, scientific ...

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