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Face-off Probability, part of NHL Edge IQ: Predicting face-off winners in real time during televised games

AWS Machine Learning

We explored nearest neighbors, decision trees, neural networks, and also collaborative filtering in terms of algorithms, while trying different sampling strategies (filtering, random, stratified, and time-based sampling) and evaluated performance on Area Under the Curve (AUC) and calibration distribution along with Brier score loss.

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Auto-labeling module for deep learning-based Advanced Driver Assistance Systems on AWS

AWS Machine Learning

AV/ADAS teams need to label several thousand frames from scratch, and rely on techniques like label consolidation, automatic calibration, frame selection, frame sequence interpolation, and active learning to get a single labeled dataset. His core interests include deep learning and serverless technologies.

APIs 81
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Rule-Based Automation Is Out: Intelligent Automation Is In!

SmartKarrot

It has cemented its place in the business sector a while back, and now with technological innovation happening at a breath-taking pace, it is taking a step even further. As easy as it makes your work, the technology behind an intelligent automation platform is a lot more complex. Automotive industry. Life sciences.