Type / Track: Workshop
Sub Type: Data & Machine Learning

Start Time: 05/02/2018 10:15 am
End Time: 05/02/2018 12:15 am

Room: Schulz Hall 316
Capacity: 30
Venue: University of St. Thomas - Minneapolis Campus

Using Machine Learning to Classify Data From the Physical World


Host Organization: IoT Fuse

LEARNING OBJECTIVE
Data Science, Machine Learning & Mobile Application Development!

HOW THIS FITS INTO IOT
Sensors are able to record data at an alarmingly fast state. We will need applications both on the factory floor and in the cloud to recognize and classify when machinery is not functioning properly and take corrective action. This workshop will demonstrate the collection of data from sensors and machine learning to classify the data it’s receiving.

WHAT ATTENDEES DO
Code a native mobile application using React Native, send data to an Amazon Web Services instance to collaboratively help the system train the data and then together as a group us AWS ML start running predictions on new data being received.

WHAT ATTENDEES BRING
Laptop & Smartphone

KNOWLEDGE REQUIRED
Basic understanding of data being sent over the internet to a cloud-based endpoint.

PRE-CLASS SETUP
Xcode if wanting to build for iOS, Android Studio if wanting to build for Android. Optional: AWS CLI tools.

WHAT ATTENDEES RECEIVE
Source code for mobile application and ingestion of data and machine learning in AWS.

LINKS & READING MATERIAL
Android Studio
AWS CLI


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