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Machine Learning

Topic modeling

Topic models are algorithms that uncover hidden thematic structures in document collections. They help develop new ways to search, browse and summarize large archives of texts.

Collaborative place models

The right information delivered at the right time can make apps and ads more appealing and
relevant. It requires both location data and a temporal framework that gives meaning to each location.

DI-BOSS, an operating system for smart buildings

IoT sensors monitor everything from energy consumption and water usage to air temperature and elevator status to conserve energy, reduce waste, and save money.

About

Machine learning uses computational, theoretical, and statistical principles to develop algorithms that model data from real-world phenomena and make accurate predictions about the phenomena. Machine learning operates in supervised, unsupervised and semi-supervised settings to perform classification, regression, visualization, clustering, dimensionality reduction, network modeling, graphical modeling, inference and structured prediction.

Faculty

Alexandr Andoni Biography
Alexandr Andoni
David Blei Biography
David Blei
Adam Cannon Biography
Adam Cannon
Shih-Fu Chang Biography
Shih-Fu Chang
Daniel Hsu Biography
Daniel Hsu
Tony Jebara Biography
Tony Jebara
Ansaf Salleb-Aouissi Biography
Ansaf Salleb-Aouissi
Nakul Verma Biography
Nakul Verma
Carl Vondrick Biography
Carl Vondrick

Affiliates

Noemie Elhadad Biography
Noemie Elhadad

Research Labs

Machine Learning @ Columbia

Columbia Engineering is committed to an open and welcoming community for all students, faculty, researchers, and staff. Click for Dean Mary Boyce’s full statement.

Upcoming Events

Apr 23

CS@CU Coffee Hour

Monday 3:30 pm

CS Lounge

May 15

CS@CU Graduation Reception

Tuesday 4:00 pm

Lerner Party Space

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    Dean Boyce's statement on amicus brief filed by President Bollinger

    President Bollinger announced that Columbia University along with many other academic institutions (sixteen, including all Ivy League universities) filed an amicus brief in the U.S. District Court for the Eastern District of New York challenging the Executive Order regarding immigrants from seven designated countries and refugees. Among other things, the brief asserts that “safety and security concerns can be addressed in a manner that is consistent with the values America has always stood for, including the free flow of ideas and people across borders and the welcoming of immigrants to our universities.”

    This recent action provides a moment for us to collectively reflect on our community within Columbia Engineering and the importance of our commitment to maintaining an open and welcoming community for all students, faculty, researchers and administrative staff. As a School of Engineering and Applied Science, we are fortunate to attract students and faculty from diverse backgrounds, from across the country, and from around the world. It is a great benefit to be able to gather engineers and scientists of so many different perspectives and talents – all with a commitment to learning, a focus on pushing the frontiers of knowledge and discovery, and with a passion for translating our work to impact humanity.

    I am proud of our community, and wish to take this opportunity to reinforce our collective commitment to maintaining an open and collegial environment. We are fortunate to have the privilege to learn from one another, and to study, work, and live together in such a dynamic and vibrant place as Columbia.

    Sincerely,

     

    Mary C. Boyce
    Dean of Engineering
    Morris A. and Alma Schapiro Professor

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