Anomaly Detection Using Machine Learning with Amazon SageMaker – AWS Online Tech Talks

Anomaly detection, the art of finding rare events or observations that differ from the norm, has many applications. Anomaly detection is becoming increasingly popular due to the proliferation of devices from the Internet of Things (IoT), where a lot of data is generated. In this tech talk, we will discuss how machine learning can be used to detect anomalies in data with a scalable solution using Apache MXNet with Amazon SageMaker, AWS DeepLens, and AWS IoT Greengrass.

Learning Objectives:
– Learn about detecting anomalies using machine learning with Amazon SageMaker
– Learn about anomaly detection with machine learning in the cloud and at the edge
– Learn the interaction between machine learning models built with Apache MXNet and AWS services such as Amazon SageMaker, AWS DeepLens, and AWS IoT Greengrass