===========================================
External Resources, Videos and Talks
===========================================
For written tutorials, see the :ref:`Tutorial section ` of
the documentation.
New to Scientific Python?
==========================
For those that are still new to the scientific Python ecosystem, we highly
recommend the `Python Scientific Lecture Notes
`_. This will help you find your footing a
bit and will definitely improve your scikit-learn experience. A basic
understanding of NumPy arrays is recommended to make the most of scikit-learn.
External Tutorials
===================
There are several online tutorials available which are geared toward
specific subject areas:
- `Machine Learning for NeuroImaging in Python `_
- `Machine Learning for Astronomical Data Analysis `_
.. _videos:
Videos
======
- An introduction to scikit-learn `Part
I `_ and
`Part II `_ at Scipy 2013
by `Gael Varoquaux`_, `Jake Vanderplas`_ and `Olivier Grisel`_. Notebooks on
`github `_.
- `Introduction to scikit-learn
`_ by `Gael Varoquaux`_ at
ICML 2010
A three minute video from a very early stage of scikit-learn, explaining the
basic idea and approach we are following.
- `Introduction to statistical learning with scikit-learn `_
by `Gael Varoquaux`_ at SciPy 2011
An extensive tutorial, consisting of four sessions of one hour.
The tutorial covers the basics of machine learning,
many algorithms and how to apply them using scikit-learn. The
material corresponding is now in the scikit-learn documentation
section :ref:`stat_learn_tut_index`.
- `Statistical Learning for Text Classification with scikit-learn and NLTK
`_
(and `slides `_)
by `Olivier Grisel`_ at PyCon 2011
Thirty minute introduction to text classification. Explains how to
use NLTK and scikit-learn to solve real-world text classification
tasks and compares against cloud-based solutions.
- `Introduction to Interactive Predictive Analytics in Python with scikit-learn `_
by `Olivier Grisel`_ at PyCon 2012
3-hours long introduction to prediction tasks using scikit-learn.
- `scikit-learn - Machine Learning in Python `_
by `Jake Vanderplas`_ at the 2012 PyData workshop at Google
Interactive demonstration of some scikit-learn features. 75 minutes.
- `scikit-learn tutorial `_ by `Jake Vanderplas`_ at PyData NYC 2012
Presentation using the online tutorial, 45 minutes.
.. _Gael Varoquaux: http://gael-varoquaux.info
.. _Jake Vanderplas: https://staff.washington.edu/jakevdp
.. _Olivier Grisel: https://twitter.com/ogrisel