PASS Summit 2016: Where Data Professionals Connect, Share & Learn
Play How Azure ML Helped Predict the Results of the NCAA "March Madness" Tournament
Description
What if you could improve your “March Madness” bracket by using Azure Machine Learning? Tune in for this insightful interview as Jennifer Marsman welcomes Damon Hachmeister to the show as they discuss just how Damon used Azure ML to improve his rankings in last year’s NCAA tournament.
Think you can do better this year? Check out Azure Machine Learning now!
- [0:56] Tell us a little bit about the project. How did this experiment get started?
- [3:04] DEMO: How to build a bracket using Azure ML
Follow the conversation @msdev
Become a Fan @ facebook.com/MSFTDev
Subscribe to our podcast via iTunes, Windows Phone Marketplace or RSS
If you're interested in learning more about the products or solutions discussed in this episode, click on any of the below links for free, in-depth information:
Websites & Blogs:
- Jennifer Marsman’s Blog
- Learn more about Azure Machine Learning. Click here
- Read the article, “March Madness – My First Azure ML Experience”
- Check out the results! Click here
Videos:
- How to Build a Hogwarts Sorting Hat
- Microsoft's Open Source Journey into Big Data - Integrating Apache Hadoop with Azure HDInsight
- Using EEG & Azure Machine Learning to Build a Lie Detector
- How Bing Ads Helped Grow My Business: An Interview with Alex Littlewood, CEO of Motoroso
Download
Related episodes
NASCAR & Microsoft: Driving Innovation Through Technology
Azure Security Center: Prevent, Detect and Respond to Threats with Increased Visibility…
Windows Server 2016 Overview: Get the Goods on the New Server
(Part 2) How to Use Azure Backup Server
(Part 1) Microsoft Azure for Amazon AWS Cloud Professionals: Getting Started
Real Madrid & Microsoft: Better Together - Embarking on a Digital Transformation Initiative
An Interview with David Linthicum: The Future of IT: Cloud Computing, Mobility and…
Microsoft Azure Stack Technical Preview 1: Introduction & Overview
(Part 1) Microsoft Operations Management Suite: Simplified IT Management for Any Enterprise
The Discussion
-
Francesco Is that experiment publicly available to see?
Very interesting indeed. -
David Blundell When I click on an email the first thin I want to know is what it is?
Azure ML. NCAA. March Madness. Just gobbly gook. What about two lines of explanation of what it is that you are offering. You are not the only ones who live in a small world. I do hope that I am not missing something good?!! -
eugenio hola, muy interesantes estos avances, gracias
-
jennmar @Francesco: Unfortunately, the experiment Damon walk through is not published online.
@David Blundell: My apologies. AzureML is Azure Machine Learning, a tool that allows you to perform enterprise-quality machine learning from a browser. The documentation is at https://azure.microsoft.com/en-us/documentation/services/machine-learning/. "March Madness" is a college basketball tournament that happens every year in March in the United States. It is known for having great upsets (a low-ranked team beating a high-ranked team) so it's popular to create a bracket to predict who will win and proceed to the next level of the tournament. More information at https://en.wikipedia.org/wiki/NCAA_Men%27s_Division_I_Basketball_Championship.
@eugenio: Gracias!
-
Byron Rogers It looked to me that the accuracy of 0.7 was on the training data but on the holdout testing data it was 0.57, slightly better than a coin flip. Or did I miss something?
Conversation locked
This conversation has been locked by the site admins. No new comments can be made.