Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/129534
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dc.contributor.authorDan Calderon
dc.date.accessioned2017-04-30T13:30:14Z-
dc.date.available2017-04-30T13:30:14Z-
dc.date.issued2011
dc.identifier.urihttp://hdl.handle.net/123456789/129534-
dc.description.abstractThis Collection describes the results from an ELEC 631 project at Rice University on basic machine learning theory, and the application of a set of algorithms to various problems, synthetic and real-world.
dc.language.isoeng
dc.publisherRice University
dc.relation.urihttps://cnx.org/contents/4f83d292-1630-4284-a6c4-f2db883b9e9b@1.2/Introductory_Survey_and_Applic
dc.rights.uriCreative Commons Attribution License ( 3.0)
dc.sourceopenstax cnx
dc.subject.classificationMathematics and StatisticsScience and Technology
dc.subject.otherLogistic Regression
dc.subject.otherStatistical Physics
dc.titleIntroductory Survey and Applications of Machine Learning Methods
dc.type電子教課書
dc.classification自然科學類
Theme:教科書-自然科學類

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