[talks] colloquium, Alp Kucukelbir , today Feb 23rd at 12:30pm
Mitra D. Kelly
mkelly at CS.Princeton.EDU
Tue Feb 23 10:19:25 EST 2016
Alp Kucukelbir, Columbia
Feb 23rd @12:30pm
# Talk Title
Towards Automated Machine Learning
# Talk Abstract
Machine learning is changing the way we do science. We want to study large
datasets to shed light onto natural processes. (How do proteins function?
How does the brain work?) To this end, we need tools to rapidly and
iteratively explore hidden patterns in data. However, using machine learning
to discover such patterns requires enormous effort and cross-disciplinary
expertise. My goal is to develop easy-to-use machine learning tools that
empower scientists to gain new insights from data. This requires research in
automated algorithms, scalable software, and robust machine learning. These
are the building blocks of effective machine learning tools.
Alp is a postdoctoral research scientist at the Data Science Institute and
the department of Computer Science at Columbia University. He works with
David Blei on developing scalable and robust machine learning tools. He
collaborates with Andrew Gelman on the Stan probabilistic programming
system. Alp received his Ph.D. from Yale University, where he was awarded
the Becton prize for best thesis in engineering and applied science. He
holds a B.A.Sc. from the University of Toronto.
Computer Science Dept
35 Olden Street
Princeton NJ 08540
mkelly at cs.princeton.edu <mailto:mkelly at cs.princeton.edu>
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