To all of the folks who have joined the NYC Dataiku User Group (is NYC DUG the acronym.) It would be great to get to know others in the area. I currently have the privilege to work with cultural non-profit organizations (like theaters and museums) in the NYC area and around the world. I help them better understand their data in order to better serve customers and deliver on their mission. I've been using DSS since late 2017 and when not facilitating organizational change, I enjoy making digital images. Who else is out there. Please either drop me a direct note or share your story below.
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Thank you @pmasiphelps for sharing your experience with Anomaly Detection on Dataiku DSS! And thank you to all the participants!
Please provide your feedback to improve future User Group events by completing this short survey.
Also here is the form if you are interested in leading the group and coordinating one event per quarter in order to increase exchanges between users!
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On June 24th, as part of the launch of the New York user group , we’ll identify the outliers with @pmasiphelps (Lead Data Scientist, Dataiku) who will present an anomaly detection project in Dataiku DSS, based on the data in The Washington Post’s The Opioid Files .
Anomaly detection is a step in data mining that identifies data points, events, and/or observations that deviate from a dataset's normal behavior. Anomalous data can indicate critical incidents, such as a technical glitch, or potential opportunities, for instance a change in consumer behavior.
Anomaly detection is an approach that can be useful across an array of industries and for a variety of purposes, including IT and DevOps, manufacturing, healthcare, banking and finance, and in the public sector.
If you’re interested in learning more about Anomaly Detection, please join us next week!
For more resources about Anomaly Detection:
How-To: Execute Anomaly Detection at Scale in 5 Easy Steps
Why Anomaly Detection Matters to (Almost) Everyone
Anomaly Detection for the AI-Driven Business
Please note: The dataset that is used in this presentation is the publicly available data presented by The Washington Post.
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Mark your calendars for the launch of the first New York User Group Event on Wednesday, June 24th at 12:00 PM ET!
For the first virtual event of the New York Dataiku user group , @pmasiphelps (Lead Data Scientist at Dataiku) will present an anomaly detection project in Dataiku DSS, based on the data in The Washington Post’s The Opioid Files.
Anomaly detection is a step in data mining that identifies data points, events, and/or observations that deviate from a dataset's normal behavior. Anomalous data can indicate critical incidents, such as a technical glitch, or potential opportunities, for instance a change in consumer behavior.
This presentation will be followed by a discussion to share feedback and best practices on anomaly detection with DSS.
Register now to learn more about the event topic and agenda!
Please note: The dataset that is used in this presentation is the publicly available data presented by The Washington Post.
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Welcome to the New York Dataiku user group! This group brings together local users to share knowledge about Dataiku DSS, with:
Regular events to connect and learn about projects developed by fellow users. Anyone is welcome to present - please let me know if you have a project you’d like to share!
This online group to share updates and stay connected in-between events. Feel free to post about any Dataiku or data topics of interest to fellow local users.
Feel free to reach out to me for any questions - I’m here to help you exchange and learn from each other! The Dataiku User Groups are led by volunteer users who contribute their time and communication skills to enable fellow users to learn from each other. If you’d like to lead this group, please fill out this application form and we’ll get back. Thanks for your interest!. Looking forward to getting to know everyone!
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