Machine Learning Contest Kick-off and Data Science Presentations

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Machine Learning Contest Kick-off: 4pm MST Saturday February 28, 2015

Location: Level 3 Communications Events Center - Entrance on the North Side. Map: https://goo.gl/maps/pKpjD

NOTE: For folks unable to attend in person register and we will email you a livestream link prior to event.

• Live-stream to Global Audience

• Contest Rules and App Requirements Shall be Announced - Free Entry for Contestants - Win USD $10,000

• Contestant Registration @ http://bit.ly/1zYp9dd

• Web Site: See: http://hackski.com

• Place: Global - Virtual - Level 3 Communications Colorado

• Requirements: Free and open to all

• Contest Kick-off: 4pm Saturday February 28, 2015 at Level 3 in Colorado

• Award Ceremony: 4pm Saturday December 5, 2015 at Level 3 in Colorado (winners do not need to attend physically but must be reachable via disclosed contact information)

• 1st Prize USD $10,000 - Additional Prizes to be Determined

We are holding the Machine Learning Contest Kick-off on Saturday February 28, 2015. The goal is to demonstrate how data science and engineering can improve decisions and quality of life to the public.

Party and award ceremony will be held on Saturday December 5, 2015. Keynote, data science speakers and networking. Award ceremony shall be livestreamed for contestants unable to attend. Winners may collect awarded prize from any geographic location conditioned on proper contact information disclosed.

Data science & engineering presentations include:

Paul Balas: Big Data and Classification
Michael Malak: Spark New Release
Charles Clifford: Are your Data Analysts Ready for the Cloud
Lee Cole: Real-time Analysis for High-Frequency Trading
Michael Walker: Data Science Laws
Chris Howard: Making Sense of Sensor Data
William Stanton: Deep Learning
Ken Farmer: Data Quality Solutions
Florian Sobieczky: Scale Space Theory
Andrew Weekley: Anomaly Detection Algorithms
Tom Flaherty: Reactive Principles in Data Science
John Dougherty: Hadoop Ecosystem
Jennifer Evans: Using Event Data to Enhance Analytic Models

Contestants will compete to create the best mobile phone app to be made free to the public to make best possible ski venue and route/time decision to get to the ski slopes. Any variety of data sources and data science techniques may be used. Contest is open and free to any and all contestants – regardless of geographic location.

A panel of judges shall award USD $10,000 for the best app. Additional prizes will be awarded.

Contestant data sources and techniques shall be published on the website for others to review and learn at conclusion.

Contestant Registration @ http://bit.ly/1zYp9dd

Sponsor Registration @ http://bit.ly/1IxjXll