Machine learning and statistics: a matter of perspective

dc.contributor.author	Cunningham, Sally Jo
dc.date.accessioned	2008-10-20T22:54:28Z
dc.date.available	2008-10-20T22:54:28Z
dc.date.issued	1995-04
dc.description.abstract	Information has become an important commercial commodity-indeed, possibly the most important product of the future. While we have well-developed technologies to store data, the analysis to extract information is time-consuming and requires skilled human intervention. Machine learning algorithms augment statistical analysis by providing mechanisms that automate the information discovery process. These algorithms also tend to be more accessible to end-users and domain experts. The two analysis methods are converging, and the fields have much to offer each other.	en_US
dc.format.mimetype	application/pdf
dc.identifier.citation	Cunningham, S. J. (1995). Machine learning and statistics: a matter of perspective. (Working paper 95/11). Hamilton, New Zealand: University of Waikato, Department of Computer Science.	en_US
dc.identifier.issn	1170-487X
dc.identifier.uri	https://hdl.handle.net/10289/1089
dc.language.iso	en
dc.publisher	University of Waikato, Department of Computer Science	en_US
dc.relation.ispartofseries	Computer Science Working Papers
dc.subject	computer science	en_US
dc.title	Machine learning and statistics: a matter of perspective	en_US
dc.type	Working Paper	en_US
uow.relation.series	95/11