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Understanding Software System Behavior with ML and Time Series Data
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| by David Andrzejewski Follow 0 Followers on Jun 13, 2018 |
46:55

Summary
David Andrzejewski discusses how time series datasets can be combined with ML techniques in order to aid in the understanding of system behaviors in order to improve performance and uptime.

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Bio

David Andrzejewski is an Engineering Manager at Sumo Logic and co-organizer of the SF Bay Area Machine Learning meetup group. Prior to Sumo Logic, David held a postdoctoral research position working on knowledge discovery at Lawrence Livermore National Laboratory (LLNL).

QCon.ai is a AI and Machine Learning conference held in San Francisco for developers, architects & technical managers focused on applied AI/ML.

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