The State of Educational Data Mining in 2009: A Review and Future Visions - 1 views
Bienvenido a about.me - 0 views
LeanLearning - learning_analytics - 1 views
InfoQ: Machine Learning: A Love Story - 0 views
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Hilary Mason presents the history of machine learning covering some of the most significant developments taking place over the last two decades, especially the fundamental math and algorithmic tools employed. She also exemplifies how machine learning is used by bit.ly to discover various statistical information about users.
Conor Williams: Educational Productivity and the Reform Wars - 0 views
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data difficulties in "some" cases hardly eviscerate a study of "more than 9,000 districts that enroll more than 85 percent of all U.S. students."
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Poverty does not make productive, efficient education impossible.
The difference between utopian and dystopian visions « The Weblog of (a) Davi... - 0 views
The power of organisational structure « The Weblog of (a) David Jones - 2 views
YouTube - Intro to the Semantic Web - 0 views
wiki.dbpedia.org: Acerca de - 1 views
Unstructured data is worth the effort when you've got the right tools - O'Reilly Radar - 2 views
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With regard to the challenges, enterprise data is very messy, inconsistent, and spread out across multiple internal systems and applications. APIs like the ones we're working on can bring consistency and structure to a company's legacy data.
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entity relation extraction is an important trend.
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Entity relation extraction helps detect new knowledge in big data.
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