633 Folsom StSan Francisco, CA 94107
MLconf was created to host the thought leaders in Machine Learning and Data Science to discuss their most recent experience with applying techniques, tools, algorithms and methodologies to the seemingly impossible problems that occur when dealing with massive and noisy data. MLconf is independent of any outside company or university – it’s simply a conference organized to gather the Machine Learning communities in various cities to share knowledge and create an environment for the community to coalesce.
Rajat Monga, Engineering Director, TensorFlow, Google
Guy Lebanon, Director, Machine Learning and Data Science, Netflix
Stephanie deWet, Software Engineer, Pinterest
Josh Wills, Head of Data Engineering, Slack
Daria Sorokina, Applied Scientist, A9.com (Amazon)
Alex Smola, Machine Learning Director, Amazon
Scott Clark, Co-Founder and CEO, SigOpt
Elena Grewal, Data Science Manager, Airbnb
Daniel Shank, Data Scientist, Talla
Virginia Smith, Researcher, UC Berkeley
Alex Dimakis, Associate Professor, Dept. of Electrical and Computer Engineering, University of Texas at Austin
Anjuli Kannan, Software Engineer, Google
Jennifer Prendki, Principal Data Scientist, @WalmartLabs
Jean-Francois Puget, Distinguished Engineer, Machine Learning and Optimization, IBM
Harm van Seijen, Research Scientist, Maluuba
Nikhil Garg, Engineering Manager, Quora
Brian Lucena, Senior Data Scientist, Metis
Michelle Casbon, Director of Data Science, Qordoba
Rumman Chowdhury, Senior Data Scientist, Metis
Alex Korbonits, Data Scientist, Remitly, Inc.
We'll be announcing more speakers soon! Stay tuned!
Bronze: Stitch Fix
Lanyard: Facebook Research
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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