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Data By the Bay is the first Data Grid conference matrix with 6 vertical application areas  spanned by multiple horizontal data pipelines, platforms, and algorithms.  We are unifying data science and data engineering, showing what really works to run businesses at scale.
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Wednesday, May 18 • 9:50am - 10:30am
Black Magic: How to apply Machine Learning to real-world problems

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Surprising progress has been made on Machine Learning algorithms and infrastructures recently. These techniques are being used to solve a lot of previously un-solvable problems. However, not all problems are directly ML-applicable. Some needs to be divided and transformed properly before the powerful ML technique can be applied to it. In this session, I’ll talk about what kinds of “black magic” we applied to the data problems we are facing daily at Mattermark, so that we can solve them in graceful and scalable way using Machine Learning.

Speakers
avatar for Evion Kim

Evion Kim

Lead Machine Learning Engineer, Mattermark
Mattermark is driven to uncover all the information about world's business information. We are using machine learning and big data techniques to collect, organize and analyze these data. Evion Kim is Lead Machine Learning Engineer at Matteramrk, where he focuses on building tools to collect new data signal and find insightful derived data using machine learning and statistical techniques. Also He is building and maintaining the scalable... Read More →


Wednesday May 18, 2016 9:50am - 10:30am
Markov

Attendees (20)