Reposted from Data Science DC
A Short History of and Introduction to Deep Learning
Monday, March 24, 2014
6:30 PM toArtisphere
1101 Wilson Boulevard, Arlington, VA (map)Metro and parking information: http://www.artisphere.com/visit.aspx- For our March event, we are thrilled to have John Kaufhold from Deep Learning Analytics present a technical introduction to Deep Learning, one of the hottest topics in data science in the last couple of years. How hot? Go search for "deep learning", and skim through hundreds of hyperventilating news articles describing how it's used at Google, Facebook, Netflix, and more, and how it's beating image and speech recognition benchmarks at near-human levels of performance. At it's core, Deep Learning is in many ways just the next iteration of the venerable Artificial Neural Network, a repeatedly hyped machine learning technique almost as old as the digital computer. So what's real innovation, what's hype, how do Deep Learning nets actually work, what's new about them, and what does it matter to you, the data science practitioner? Join us and find out!
6:30pm -- Networking, Food, and Refreshments7:00pm -- Introduction7:15pm -- Presentation and discussion8:30pm -- Data Drinks (on-site cash bar!)
Abstract:Big data and the emergence of data science as a formal discipline have both renewed interest in machine learning technologies that are scalable, fast, affordable and do not suffer from overfitting. Though the "No Free Lunch theorem" implies no machine learning technology in
