From the course: Amazon Web Services Machine Learning Essential Training
Join today to access over 22,600 courses taught by industry experts or purchase this course individually.
AWS ML service for IoT apps - Amazon Web Services (AWS) Tutorial
From the course: Amazon Web Services Machine Learning Essential Training
AWS ML service for IoT apps
- [Instructor] This next application sample uses the platform as a service, Amazon Machine Learning service. Now this is designed for when you have data but no one on your team who's familiar with how to use machine learning. So remember from the earlier movies around this subject that there are two algorithms and Amazon will automatically select the appropriate algorithm, perform the training, and show you the results. So it's not always going to be useful, but this is a use case where it really might work. The data's pretty straight forward. We start with IoT sensors, so we would have lots of data because of the event data coming off of the sensors. Then a Python API would send that data to an Amazon Kinesis Firehose for streaming. The data would be staged intermediately in S3, and then copied into Redshift, probably aggregated. This flow is showing a direct copy. You may remember that Amazon Machine Learning accepts both Amazon S3 data or Amazon Redshift data as data sources. Once…
Practice while you learn with exercise files
Download the files the instructor uses to teach the course. Follow along and learn by watching, listening and practicing.
Download courses and learn on the go
Watch courses on your mobile device without an internet connection. Download courses using your iOS or Android LinkedIn Learning app.