Sentence examples for taught data from inspiring English sources

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Prior to co-founding Counsyl, Dr. Srinivasan taught data mining, statistics, and computational biology in the Department of Statistics at Stanford University.

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Alfred S. Posamentier, dean of the Mercy College School of Education, which was credited with sending the largest percentage of its teachers to schools with the greatest needs, said it would be more useful if education officials compared teaching data over a longer period.

The question, said Bill Howe, who teaches data science at the University of Washington, is whether it is even possible to instill in a single person all the skills needed, from statistics to predictive modeling to business strategy.

The course relies on constructivist educational methods to teach data reduction and image processing methods while addressing mathematical anxiety.

Amy Gershkoff is the chief data officer at Zynga and an adjunct professor at the University of California, Berkeley, where she teaches data science.

The educational data existing in most schools was teachers' teaching data, followed by students' learning proficiency data and students' academic achievement data, respectively.

DataCamp wants to teach data science skills to a generation of people, and it got a million in seed money to continue developing its online data-science learning platform.

The polishing data is generated from computer-aided design (CAD) data or from teaching data by PolyCAM, a computer-aided manufacturing (CAM) system consisting of 4 modules: a geometric modeller, a CAD data exchange module, a polishing data generation module, and a graphic simulator.

Andreas Weigend, a former chief scientist at Amazon who now teaches data mining at Stanford, lets out one little secret: The difference between a good online marketer and a great one is not in the algorithms, which are getting to be well known, but in the richness of the data fed into them.

Figure Facts is not intended to replace other highly effective methods for teaching data analysis and interpretation, but may serve as an adaptable, complementary option for the instructor's toolbox.

"Models do not just predict, but they can make things happen," says Ms. Schutt, who taught a data science course this year at Columbia.

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