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  1. Data Science Seminar: Better Education Through Improved Reinforcement Learning

    ... Travis envisions using this data to determine the optimal content to help each student learn as quickly as possible while simultaneously ...

  2. Computer Systems Engineering Majors and 230

    ... CS Major/CS Minor, or to bypass a 230 prerequiste.  Course content will be reviewed periodically by the Undergraduate Program Committee ...

  3. Theoretical Computer Science

    ... solve real technological problems, including how to deliver content efficiently and cost-effectively on the Internet, how to automatically ...

  4. Data Science Seminar: Towards a Theory of Fairness in Machine Learning

    ... systems to one used to present people with personalized content, advertisements, and other economic opportunities. Massive amounts of ...

  5. The Social Side of Recommendation Systems: How Groups Shape Our Decisions

    ... on how individuals adapt their preferences when consuming content with others. Next, we will leverage our insights about the social ...

  6. Rosensweig, Elisha

    ... Advisor:  James Kurose Research:  Content Centric Networking, Application of Machine Learning in Networking, ...

  7. Deep-learned Generative Representations of 3D Shape Families

    ... algorithms that help users to quickly and easily generate 3D content.  In this work, I propose deep learning algorithms that are capable of ...

  8. For Employers

    ... an Instagram Spotlight Help us create content for our Resource Library Submit an advertisement for ...

  9. Chaganti, Vasanta

    ... next-generation network architectures, enabling device and content mobility in the Internet, and performance modeling and data analysis of ...

  10. Search Using Social Media Structures

    ... media relative to representations based solely on text content. To exploit these structures in retrieval frameworks, we need to ...

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