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OverviewTitle: No-code ML for Forecasting and Anomaly Detection Date: 5/28/2020 Time: 9:00 AM PDT Duration: 60 minutes summaryIn this latest Data Science Central webinar, we will introduce and demonstrate how you can perform common time-series Machine Learning tasks such as Forecasting and Anomaly Detection, directly within the Influx platform without the need to use external tools, languages and services
During this webinar, you will learn:
- How to initiate Machine Learning tasks directly within the Influx visual interface without intimate knowledge of how these algorithms are implemented
- How data scientists can wrap existing, or develop new, Machine Learning algorithms for publication to the Influx time-series platform using familiar languages and frameworks
Speaker:
Dean Sheehan, Field CTO - InfluxData
Hosted by:
Stephanie Glen, Editorial Director - Data Science Central  If you're already registered for the No-code ML for Forecasting and Anomaly Detection webinar, click below: ALREADY REGISTERED? Speakers$-[WCSpeakerDisplayHTML]-$ |
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No-code ML for Forecasting and Anomaly Detection
Registration Is Closed
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