- Version 2.1
- By Mphasis
This solution utilizes unsupervised outlier detection methods to detect anomalous health events from multiple sensors providing their heart rate and steps data sequenced over a period of time. Such an approach does not require labelling, as the model learns to detect anomalous values from the...
Algorithm - Fulfilled on Amazon SageMaker