Seamless Parking: An ML Approach to License Plate Recognition by
License Plate Recognition (LPR) is a technology that has been utilized across several industries in recent years, but has the potential to disrupt many more. This talk outlines how LPR can play a role in the future of parking, the challenges inherent to LPR, and details a two-phase image recognition model that can both identify and read a license plate, given an image of a vehicle.
Tony Smaniotto is a Data Scientist with 8 years of experience working within product development, marketing analytics, and engineering teams. Prior to joining SpotHero, Tony held DS and Analytics roles at Leo Burnett and General Electric. Tony recently completed a Masters in Analytics program at The University of Chicago. He's passionate about building tools that help businesses make better decisions using data.
Recommendation Systems by Ilya Barshai
Recommendations play a huge role in the user experience on any platforms that deal with digital content delivery and ecommerce. The first part of this talk will go through the traditional techniques for producing high quality recommendation systems. The second part will go through recent NLP-based work for resolving some of the issues these traditional systems suffer from.
Ilya Barshai is a machine learning scientist with Data Cowboys, a small consulting cooperative based in Seattle and Chicago. Ilya works on machine learning and data science problems in a variety of fields including education, biomedical research, manufacturing and ecommerce.