Machine Learning - Revision history

WikiSysop at 08:30, 20 December 2019

2019-12-20T08:30:35Z

2019-12-20T08:28:06Z

2013-12-21T11:06:03Z

2013-11-02T11:02:02Z

‎Supervised Learning

2013-11-02T10:54:40Z

‎What is Machine Learning?

2013-11-02T10:54:17Z

‎What is Machine Learning?

2013-11-02T10:46:53Z

2013-10-14T16:24:43Z

2013-10-14T16:24:23Z

2013-07-12T02:38:12Z

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 * https://developers.google.com/machine-learning/crash-course
 * https://www.tensorflow.org/tutorials
 [[Category:Programming]] [[Category:Design Interactions]]

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 == See Also ==
 * UCL Datasets - http://archive.ics.uci.edu/ml/datasets.html
 [[Category:Programming]] [[Category:Design Interactions]]

← Older revision		Revision as of 11:06, 21 December 2013
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	== See Also ==		== See Also ==
		+	* UCL Datasets - http://archive.ics.uci.edu/ml/datasets.html

	[[Category:Programming]] [[Category:Design Interactions]]		[[Category:Programming]] [[Category:Design Interactions]]

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 == Supervised Learning ==
-* getting the application to produce the right answers - regression problem
+* '''regression problem''' - getting the application to produce the right answers or values - (many number)
-* classification problem - classifying something as 0 or 1 (sometimes there can also be more values - discrete value output
+* '''classification problem''' - classifying something as 0 or 1 (sometimes there can also be more values) - discrete value output (0 or 1)
+* '''support vector machine''' - support vector machines or support vector networks are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used for classification and regression analysis
 == See Also ==
 [[Category:Programming]] [[Category:Design Interactions]]

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 == What is Machine Learning? ==
 * Arthur Samuel (Samuel Checkers-playing Program) defines it as the field of study that gives computers the ability to learn without being explicitly programmed
-* Tom M. Mitchell (author of the textbook Machine Learning) defined it as "A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at tasks in T, as measured by P, improves with experience E" - example, if your email watches you label your emails as spam or not spam (E) and classifies subsequent emails as spam or not spam (T) which is measurable from the number of emails correctly classified as spam/notspam ℗…
+* Tom M. Mitchell (author of the textbook Machine Learning) defined it as "A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at tasks in T, as measured by P, improves with experience E" - example, if your email watches you label your emails as spam or not spam (E) and classifies subsequent emails as spam or not spam (T) which is measurable from the number of emails correctly classified as spam/notspam…
 * Machine learning algorithms: supervised learning / unsupervised learning. also others: reinforcement learning, recommender systems.

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-* https://class.coursera.org/ml-004/class/index
+* Machine learning, Andrew Ng - https://class.coursera.org/ml-004/class/index
 == See Also ==
 [[Category:Programming]] [[Category:Design Interactions]]

← Older revision		Revision as of 16:24, 14 October 2013
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	== See Also ==		== See Also ==

−	[[Category:Programming]]	+	[[Category:Programming]] [[Category:Design Interactions]]

← Older revision		Revision as of 02:38, 12 July 2013
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	* https://www.coursera.org/course/ml		* https://www.coursera.org/course/ml
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		+	== See Also ==
		+
		+	[[Category:Programming]]