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

PDF

Link to slideshow: PDF Slideshow

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

 

Date: 
Saturday, February 28, 2015 - 6:00pm to 8:00pm