San Francisco, California
London, United Kingdom
MLconf was created to host the thought leaders in Machine Learning and AI 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.
Event Speakers To Be Announced Soon! Stay Tuned! Visit Mlconf.com for more details!
Ryan Calo, Assistant Professor, University of Washington
Alex Korbonits, Data Scientist Analyst, Remitly
Serena Yeung, PhD Student, Stanford
Tianqi Chen, Computer Science PhD Student, University of Washington
Hanie Sedghi, Research Scientist, Allen Institute for Artificial Intelligence
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MLconf- The Machine Learning Conference
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.