Name: Detecting Anomalies and Outliers in Real-Time
Start: 2016-03-29T19:00:00-04:00
End: 2016-03-29T22:00:00-04:00
Location: The Yard Herald Square

For our next meetup, we are pleased to welcome Datadog data scientist Homin Lee (https://www.linkedin.com/in/homin-lee-6644513)! Homin will be discussing how he and his colleagues have implemented systems for outlier and anomaly detection in real-time.

Datadog is a monitoring service that collects and processes hundreds of billions of data points every day from web servers, databases, cloud providers, and other infrastructural components. Outlier and anomaly detection helps users make sense of the flood of data coming from their systems and to identify deviations from normal levels, even when "normal" fluctuates over time.

Homin will discuss the lessons that his team has learned from using these alerts on their own systems, along with some real-life examples on how to avoid false positives and negatives.

Thanks to Datadog (https://www.datadoghq.com/) for sponsoring a taco bar, beers, and soft drinks at this meetup. They will also be on hand to collect entries for a post-meetup raffle. One lucky attendee will win an Apple Watch!

Jean-Mathieu Saponaro

NYC Data Science

Technology

Cloud Computing

Big Data

Machine Learning

Data Analytics

Predictive Analytics

Data Mining

Data Science

Detecting Anomalies and Outliers in Real-Time

The Yard Herald Square

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NYC Data Science

Detecting Anomalies and Outliers in Real-Time

NYC Data Science

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