Scalable Automatic Machine Learning with H2O

DahShu isanonprofitorganization with the mission of promoting research and education in data science.Our activities include hosting various scientific conferences and educational seminars to promote learning and knowledge sharing, as well as to showcase the latest innovations and achievements in the data science field. For more information and events, please visit: www.dahshu.org.

DahShu: Promote research and education in data science

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Time: 9:00 AM - 10:00 AM PDT (12:00 PM - 1:00 PM EST), Friday, August 9th, 2019
Zoom.us link will be sent 24 hours before the event.
Please RSVP, the registration will be closed on 11:59 PM, August 7th, 2019. 
 
In this presentation, Erin LeDell (Chief Machine Learning Scientist, H2O.ai), will provide a history and overview of the field of “Automatic Machine Learning” (AutoML), followed by a detailed look inside H2O’s open source AutoML algorithm. H2O AutoML provides an easy-to-use interface which automates data pre-processing, training and tuning a large selection of candidate models (including multiple stacked ensemble models for superior model performance). The result of the AutoML run is a “leaderboard” of H2O models which can be easily exported for use in production. AutoML is available in all H2O interfaces (R, Python, Scala, web GUI) and due to the distributed nature of the H2O platform, can scale to very large datasets. The presentation will end with a demo of H2O AutoML in R and Python, including a handful of code examples to get you started using automatic machine learning on your own projects. 
 
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Biography
Erin LeDell is the Chief Machine Learning Scientist at H2O.ai, the company that produces the open source, distributed machine learning platform, H2O. At H2O.ai, she leads the H2O AutoML project and her current research focus is automated machine learning. Before joining H2O.ai, she was the Principal Data Scientist at Wise.io (acquired by GE) and Marvin Mobile Security (acquired by Veracode), the founder of DataScientific, Inc. and a software engineer. She is also founder of the Women in Machine Learning and Data Science (WiMLDS) organization (wimlds.org) and co-founder of R-Ladies Global (rladies.org). Erin received her Ph.D. in Biostatistics with a Designated Emphasis in Computational Science and Engineering from University of California, Berkeley and has a B.S. and M.A. in Mathematics. 
 
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Scalable Automatic Machine Learning with H2O

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Scalable Automatic Machine Learning with H2O

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