If you're US college basketball fan and run machine learning models for your job (or for fun), you'll be into the first-ever Zencos challenge for the NCAA tournament. Think your bracket can beat Abe Lincoln, an ensemble model using SAS Enterprise Miner and Zencos' Chris St. Jeor? Then submit it to the Zencos Madness Tournament Challenge through ESPN.
Check out this blog post for details: The Madness Begins: Can You Beat Our Machine Learning Model?
@AnnaBrown: Zencos didn't show what their machine learning model predicted, but I'd be surprised if a machine learning model can produce a better bracket then any of us doing it manually.
The one advantage it has is that it doesn't automatically select alma maters which I, of course, simply have to do (GO MARSHALL and GO MICHIGAN STATE).
Will be interesting to see what their model predicted.
Art, CEO, AnalystFinder.com
Great point, @art297. Bias can get the best of us, can't it? GO PACK! Though I am realistic. 🙂 @cstjeor1 and @Mike_Drutar will appreciate this.
@art297 you should be happy to know that Abe Lincoln (the bracket filled out by random flips of a coin) has Marshall making it all the way to the elite eight!
For anyone that want's to participate in the Zencos' Tournament Challenge can submit their bracket here:
http://games.espn.com/tournament-challenge-bracket/2018/en/group?groupID=2316763
The three brackets featured in this year's turnament (The Human, The Machine, and Abe Lincoln) will be revealed Thursday at tip-off!
Are you ready for the spotlight? We're accepting content ideas for SAS Innovate 2025 to be held May 6-9 in Orlando, FL. The call is open until September 16. Read more here about why you should contribute and what is in it for you!
Use this tutorial as a handy guide to weigh the pros and cons of these commonly used machine learning algorithms.
Find more tutorials on the SAS Users YouTube channel.