Difference between revisions of "AI/Machine Learning"
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* [https://www.pachyderm.com Pachyderm]: A all in one version controlled data science package<ref>https://www.pachyderm.com</ref>. | * [https://www.pachyderm.com Pachyderm]: A all in one version controlled data science package<ref group="software">https://www.pachyderm.com</ref>. | ||
* An article talking about Open Source Machine Tearning Tools <ref>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>. | ||
* A standalone tool: <ref>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]] | |||
==Notes== | ==Software== | ||
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==Artile== | |||
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==Book== | |||
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==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:
- Pachyderm: A all in one version controlled data science package[software 1].
- An article talking about Open Source Machine Tearning Tools [article 1].
- Knime: A standalone tool: [software 2]
- Big Data and Social Science: A Practical Guide to Methods and Tools, [book 1]
- Machine Learning Fundamentals
Software
- ↑ https://www.pachyderm.com
- ↑ Knime, Software Package, Website: https://www.knime.com/knime-analytics-platform
Artile
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