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3.0 KiB
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74 lines
3.0 KiB
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===========================================
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External Resources, Videos and Talks
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===========================================
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New to Scientific Python?
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==========================
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For those that are still new to the scientific Python ecosystem, we highly
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recommend the `Python Scientific Lecture Notes
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<https://scipy-lectures.org>`_. This will help you find your footing a
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bit and will definitely improve your scikit-learn experience. A basic
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understanding of NumPy arrays is recommended to make the most of scikit-learn.
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External Tutorials
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===================
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There are several online tutorials available which are geared toward
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specific subject areas:
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- `Machine Learning for NeuroImaging in Python <https://nilearn.github.io/>`_
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- `Machine Learning for Astronomical Data Analysis <https://github.com/astroML/sklearn_tutorial>`_
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.. _videos:
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Videos
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======
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- An introduction to scikit-learn `Part
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I <https://conference.scipy.org/scipy2013/tutorial_detail.php?id=107>`_ and
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`Part II <https://conference.scipy.org/scipy2013/tutorial_detail.php?id=111>`_ at Scipy 2013
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by `Gael Varoquaux`_, `Jake Vanderplas`_ and `Olivier Grisel`_. Notebooks on
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`github <https://github.com/jakevdp/sklearn_scipy2013>`_.
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- `Introduction to scikit-learn
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<http://videolectures.net/icml2010_varaquaux_scik/>`_ by `Gael Varoquaux`_ at
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ICML 2010
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A three minute video from a very early stage of scikit-learn, explaining the
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basic idea and approach we are following.
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- `Introduction to statistical learning with scikit-learn <https://archive.org/search.php?query=scikit-learn>`_
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by `Gael Varoquaux`_ at SciPy 2011
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An extensive tutorial, consisting of four sessions of one hour.
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The tutorial covers the basics of machine learning,
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many algorithms and how to apply them using scikit-learn.
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- `Statistical Learning for Text Classification with scikit-learn and NLTK
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<https://pyvideo.org/video/417/pycon-2011--statistical-machine-learning-for-text>`_
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(and `slides <https://www.slideshare.net/ogrisel/statistical-machine-learning-for-text-classification-with-scikitlearn-and-nltk>`_)
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by `Olivier Grisel`_ at PyCon 2011
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Thirty minute introduction to text classification. Explains how to
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use NLTK and scikit-learn to solve real-world text classification
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tasks and compares against cloud-based solutions.
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- `Introduction to Interactive Predictive Analytics in Python with scikit-learn <https://www.youtube.com/watch?v=Zd5dfooZWG4>`_
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by `Olivier Grisel`_ at PyCon 2012
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3-hours long introduction to prediction tasks using scikit-learn.
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- `scikit-learn - Machine Learning in Python <https://www.youtube.com/watch?v=cHZONQ2-x7I>`_
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by `Jake Vanderplas`_ at the 2012 PyData workshop at Google
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Interactive demonstration of some scikit-learn features. 75 minutes.
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- `scikit-learn tutorial <https://www.youtube.com/watch?v=cHZONQ2-x7I>`_ by `Jake Vanderplas`_ at PyData NYC 2012
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Presentation using the online tutorial, 45 minutes.
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.. _Gael Varoquaux: https://gael-varoquaux.info
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.. _Jake Vanderplas: http://www.vanderplas.com
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.. _Olivier Grisel: https://twitter.com/ogrisel
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