DataHour: Anomaly detection using NLP and Predictive Modeling
DataHour: Anomaly detection using NLP and Predictive Modeling
06 Sep 202213:09pm - 06 Sep 202214:09pm
DataHour: Anomaly detection using NLP and Predictive Modeling
About the Event
Most engineering organizations manage daily operations across multiple divisions through automated scheduling of jobs. Some of these domains might include data engineering, customer targeting & campaign management, order management among others. Often, hundreds of thousands of such jobs (if not more!) are scheduled every day, which makes the job management and exception handling piece difficult, time-consuming, and resource intensive.
In this DataHour session, Paritosh will cover the fundamentals of anomaly detection and discuss its application in job management and exception handling. Rather than proposing a single approach, this session will identify the nuances that should be considered while designing an anomaly detection solution. The session will be aided by real-life examples that leverage NLP, predictive modeling, and other ensemble methods to identify, correct, and prevent anomalies.
Prerequisites: No prerequisites. A preread of this article will enable familiarization with the core topic.
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- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
Who is this DataHour for?
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
About the Speaker
Participate in discussion
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