Difference between revisions of "AI/Machine Learning"

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* An article talking about Open Source Machine Tearning Tools <ref group="article">https://www.analyticsvidhya.com/blog/2019/07/21-open-source-machine-learning-tools/</ref>.
* An article talking about Open Source Machine Tearning Tools <ref group="article">https://www.analyticsvidhya.com/blog/2019/07/21-open-source-machine-learning-tools/</ref>.
* [https://www.knime.com/knime-analytics-platform Knime]: A standalone tool: <ref group="software">Knime, Software Package, Website: https://www.knime.com/knime-analytics-platform</ref>
* [https://www.knime.com/knime-analytics-platform Knime]: A standalone tool: <ref group="software">Knime, Software Package, Website: https://www.knime.com/knime-analytics-platform</ref>
* Big Data and Social Science: A Practical Guide to Methods and Tools, <ref group="book">Ian Foster, Rayid Ghani, Ron S. Jarmin, Frauke Kreuter, and Julia Lane, ''Big Data and Social Science: A Practical Guide to Methods and Tools'', (New York: CRC Press, 2017), Website: http://www.bigdatasocialscience.com </ref>
* [[wikipedia:Probably approximately correct learning|Machine Learning Fundamentals]]




 
==Software==
==Notes==
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==Notes==
==Artile==
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<references group="article" />


==Book==
<references group="book"/>


==Remaining Notes==
==Remaining Notes==
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Latest revision as of 00:29, 8 May 2021

A number of machine learning software can be found here:

A list is available here:


Software

Artile

Book

  1. Ian Foster, Rayid Ghani, Ron S. Jarmin, Frauke Kreuter, and Julia Lane, Big Data and Social Science: A Practical Guide to Methods and Tools, (New York: CRC Press, 2017), Website: http://www.bigdatasocialscience.com

Remaining Notes