Machine Learning Presentations - February 28, 2015
Machine Learning Presenations February 28, 2015
Location: Level 3 Communications Events Center
Video recording of contest announcements
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
For more information email skimore.hackski@gmail.com.
Data science & engineering presentations:
Paul Balas: Big Data and Classification
Link to slideshow: PDF Slideshow
Michael Malak: Spark New Release
Original video
Re-recorded later as a screencast
Prezi
Lee Cole: Real-time Analysis for High-Frequency Trading
Link to slideshow: PDF Slideshow
Michael Walker: Data Science Laws
Link to slideshow: PDF Slideshow
Chris Howard: Making Sense of Sensor Data
Link to slideshow: PDF Slideshow
Tom Flaherty: Reactive Principles in Data Science
Link to slideshow: PDF Slideshow
William Stanton: Deep Learning With Text
Link to slideshow: PDF Slideshow
Ken Farmer: Data Quality Solutions
Link to slideshow: PDF Slideshow
Florian Sobieczky: Scale Space Theory
Link to slideshow: PDF Slideshow
Andrew Weekley: Anomaly Detection Algorithms
Link to slideshow: PDF Slideshow
Jennifer Evans: Using Event Data to Enhance Analytic Models
Link to slideshow: PDF Slideshow