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resources [2013/10/29 19:35] asa |
resources [2015/12/04 16:23] asa [ML open source software and data] |
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====== Python and Machine Learning resources ====== | ====== Python and Machine Learning resources ====== | ||
- | ===== Open source software and data ===== | + | ===== ML open source software and data ===== |
* The [[http://archive.ics.uci.edu/ml/index.html | UCI]] machine learning data repository. | * The [[http://archive.ics.uci.edu/ml/index.html | UCI]] machine learning data repository. | ||
* [[http://mloss.org/software/|MLOSS]]: machine learning open source software repository. | * [[http://mloss.org/software/|MLOSS]]: machine learning open source software repository. | ||
+ | * [[http://rodrigob.github.io/are_we_there_yet/build/classification_datasets_results.html | Are we there yet?]] recent progress on challenging computer vision datasets. | ||
* [[http://www.kaggle.com/competitions | ML competitions]]. | * [[http://www.kaggle.com/competitions | ML competitions]]. | ||
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===== Machine Learning Societies, Journals and Conferences ===== | ===== Machine Learning Societies, Journals and Conferences ===== | ||
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* [[http://www.python.org/doc/current/tutorial/ | The official Python tutorial]] | * [[http://www.python.org/doc/current/tutorial/ | The official Python tutorial]] | ||
* [[http://www.greenteapress.com/thinkpython|Think Python]], on-line book by Allen Downey | * [[http://www.greenteapress.com/thinkpython|Think Python]], on-line book by Allen Downey | ||
+ | * [[http://learnpythonthehardway.org/book/|Learn Python the hard way]] | ||
* [[http://www.diveintopython.net/|Dive Into Python]], on-line book by Mark Pilgrim | * [[http://www.diveintopython.net/|Dive Into Python]], on-line book by Mark Pilgrim | ||
* [[https://portal.g-node.org/python-summerschool-2009/slides|Dive into Python]] slides, by Bartosz Telenczuk | * [[https://portal.g-node.org/python-summerschool-2009/slides|Dive into Python]] slides, by Bartosz Telenczuk |