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MLconf SF 2016

MLconf- The Machine Learning Conference

Friday, November 11, 2016 from 8:00 AM to 6:00 PM (PST)

MLconf SF 2016

Ticket Information

Ticket Type Sales End Price Fee Quantity
General Admission to MLconf SF Oct 11, 2016 $250.00 $14.74
"Lessons Learned" Post-Event Educational Package
The "Lessons Learned", Post-Event Educational Package summarizes the concepts taught at MLconf SF on Friday, 11/11/16. Context from video footage and slides from the conference will be included to show main concepts covered at MLconf SF 2016.
Nov 11, 2016 $25.00 $2.37

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Event Details

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.

Event Speakers:

S. M. Ali Eslami, Research Scientist, Google DeepMind


Josh Wills, Head of Data Engineering, Slack


Daria Sorokina, Applied Scientist, A9.com (Amazon)

Abstract: Amazon Search: The Joy of Ranking Products



Scott Clark, Co-Founder and CEO, SigOpt

Abstract: Understanding Bayesian Optimization to Tune Machine Learning Models


 Elena Grewal, Data Science Manager, Airbnb


We'll be announcing more speakers soon! Stay tuned! 



Gold: MetisCloudera, NetflixSAS Inc., MapR, Winton Capital, Lucidworks, Criteo



Silver: GoogleNumentah2o.ai, Tryolabs, Quora, Data Monsters, airbnb



Lanyard: Facebook Research


Media: O'Reilly, Galvanize, TechTank, CRC Press


Have questions about MLconf SF 2016? Contact MLconf- The Machine Learning Conference

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When & Where

Hotel Nikko San Francisco
222 Mason Street
San Francisco, CA 94102

Friday, November 11, 2016 from 8:00 AM to 6:00 PM (PST)

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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.

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