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MLconf gathers communities to discuss the recent research and application of Algorithms, Tools, and Platforms to solve the hard problems that exist within organizing and analyzing massive and noisy data sets.
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machine learning
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bryan thompson
sri ambati
xia zhu
ewa dominowska
sandy ryza
jacob mundt
evan estola
dan mallinger
danai koutra
parikshit ram
elizabeth elhassani
"recommender systems" "machine learning algorithms
"feature engineering"
"yarn framework" "hadoop"
"personalization" "recommenders"
divide-and-conquer matrix factorization
uc berkeley
eric battenberg
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