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No-Code ML for Forecasting and Anomaly Detection
Webinar Date: 2020-05-28 09:00:00 (Pacific Time)
In this latest Data Science Central webinar, we will introduce and demonstrate how you can perform common time series machine learning (ML) tasks, such as forecasting and anomaly detection, directly within the InfluxDB 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 InfluxDB time series platform using familiar languages and frameworks.
Dean Sheehan
Field CTO, InfluxData
As Field CTO, Dean is responsible for ensuring the successful communication and deployment of InfluxData’s solutions throughout the world. Based in the UK, Dean is also leading the expansion of InfluxData’s business throughout Europe. He has more than 25 years of experience in the technology industry covering consulting, product development, product management and solution deployment throughout the retail, financial and telecom industries—with significant expertise in distributed systems, transactional systems and data center automation. Dean has a Bachelor’s Degree in Computer Science, and an MBA from Cambridge University.