COPYRIGHT YEAR

2015

AUTHORS

Rahul Khanna, Mariette Awad

TITLE

Machine Learning in Action: Examples

ABSTRACT

Machine learning is an important means of synthesizing and interpreting the underlying relationship between data patterns and proactive optimization tasks. Machine learning exploits the power of generalization, which is an inherent and essential component of concept formation through human learning. The learning process constructs a that is hardened by critical feedback to improve performance. The knowledge base system gathers a collection of facts and processes them through an inference engine that uses rules and logic to deduce new facts or inconsistencies.

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23 TRIPLES      22 PREDICATES      19 URIs      13 LITERALS

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1 book-chapters:21bff0cf6bf9aa91284791c19258260b sg:abstract Abstract Machine learning is an important means of synthesizing and interpreting the underlying relationship between data patterns and proactive optimization tasks. Machine learning exploits the power of generalization, which is an inherent and essential component of concept formation through human learning. The learning process constructs a that is hardened by critical feedback to improve performance. The knowledge base system gathers a collection of facts and processes them through an inference engine that uses rules and logic to deduce new facts or inconsistencies.
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7 sg:copyrightHolder Apress Media, LLC
8 sg:copyrightYear 2015
9 sg:ddsId Chap11
10 sg:doi 10.1007/978-1-4302-5990-9_11
11 sg:esmRights OpenAccess
12 sg:hasContribution contributions:23dc45c59ba6dd85071fa10ab5300e33
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14 sg:language En
15 sg:license http://scigraph.springernature.com/explorer/license/
16 sg:metadataRights OpenAccess
17 sg:pageFirst 209
18 sg:pageLast 240
19 sg:scigraphId 21bff0cf6bf9aa91284791c19258260b
20 sg:title Machine Learning in Action: Examples
21 sg:webpage https://link.springer.com/10.1007/978-1-4302-5990-9_11
22 rdf:type sg:BookChapter
23 rdfs:label BookChapter: Machine Learning in Action: Examples
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