Learn · CERN

Talk2 h 19 min

An introduction to machine learning with Scikit-Learn

Gilles Dr. LOUPPE · CERN

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About

This tutorial gives an introduction to the scientific ecosystem for data analysis and machine learning in Python. After a short introduction of machine learning concepts, we will demonstrate on High Energy Physics data how a basic supervised learning analysis can be carried out using the Scikit-Learn library. Topics covered include data loading facilities and data representation, supervised learning algorithms, pipelines, model selection and evaluation, and model introspection..

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The talk

  1. An introduction to machine learning with Scikit-Learn 2015-11-12 · 2 h 19 min · CERN's player

Credits and licence

Institution
CERN
Department
LPCC Workshops
Speaker
Gilles Dr. LOUPPE
Year
2015
Language
English
Subjects
Computer science
Source
CERN
Licence
CERN, as CERN states it. CERN's terms
Attribution
© CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
Who can watch
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