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Wednesday, May 2 • 8:00am - 10:00am
Practical IoT Machine Learning (Not Just for Data Scientists) LIMITED

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Limited Capacity seats available

LEARNING OBJECTIVE
This workshsop demonstrates and teaches practical IoT Machine Learning and how it can be used within your business.

HOW THIS FITS INTO IOT
Do you suspect there's a goldmine in your company’s sensor data, but you don't have the tools to extract it? Machine learning is a natural complement to IoT technology which can make extracting your sensor data easier and faster.

Since these the two disciplines can be intimidating, we're here to walk you through the steps to get started. You can apply these machine learning techniques to common problems with minimal effort using the AWS cloud.

This workshop is aimed at engineers, but may be useful to business analysts, and technical product managers as well.

WHAT ATTENDEES DO
The session will start with an explanation of machine learning and what type of data can be used as inputs and the outputs produced by the data.  The session will also cover how to create training data needed to teach the machine learning platform.
It will then use Microsoft machine learning to demonstrate a practical demonstration of a data set to showcase how you can leverage machine learning.
The example will leverage the Microsoft machine learning studio.
WHAT ATTENDEES BRING
Laptop with internet access

KNOWLEDGE REQUIRED
Ability to use a computer

PRE-CLASS SETUP
Microsoft Azure Platform, GIT
Please verify you can log into https://studio.azureml.net/ and can see the machine learning dashboard.

WHAT ATTENDEES RECEIVE
Knowledge of how to use machine learning for their data

LINKS & READING MATERIAL
About Gearforge

Speakers
avatar for Matthew MacGregor

Matthew MacGregor

N/A, Gearforge Software
avatar for Cliff Robbins

Cliff Robbins

N/A, Gearforge Software



Wednesday May 2, 2018 8:00am - 10:00am CDT
Terr. Murphy Hall 446 University of St. Thomas - Minneapolis