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Thursday, August 22 • 3:00pm - 3:30pm
Experiences in using data science and machine learning tasks for K-12 education

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In this presentation, attendees will learn how the K-12 education sector can use classification tasks such as decision-trees to uncover new insight about students. Various linear regression models, and even failed experiments will also be discussed and what we have learned from them.  Since the use of machine learning and data science is relatively new in K-12 education space, I plan on discussing the challenges of the skill gap and introducing these concepts to the decision-makers within the education space. 

Speakers
avatar for Rich Huebner

Rich Huebner

Director, Data Science & Architecture, Houghton Mifflin Harcourt
Dr. Huebner has held both industry and academic roles for the last 20+ years that have centered around business intelligence, data science, and analytics solutions. He also teaches MBA and doctoral classes at New England College of Business.


Thursday August 22, 2019 3:00pm - 3:30pm
Room 404 595 Commonwealth Avenue, Boston, MA 02215, USA

Attendees (58)