SmartTensors: Unsupervised Machine Learning

07/29/2021, 12:30 PM1:00 PM UTC
Green

Abstract:

Demonstrate SmartTensors (http://tensors.lanl.gov; https://github.com/SmartTensors): a toolbox for unsupervised machine learning based on matrix/tensor factorization constrained by penalties enforcing robustness and interpretability (e.g., nonnegativity; physics and mathematical constraints; etc.). SmartTensors has been applied to analyze diverse datasets related to a wide range of problems: from COVID-19 to wildfires and climate.

Description:

The world’s most valuable resource is no longer oil. It is data. SmartTensors (http://tensors.lanl.gov; https://github.com/SmartTensors) is a toolbox for unsupervised machine learning based on matrix/tensor factorization constrained by penalties enforcing robustness and interpretability (e.g., nonnegativity; physics and mathematical constraints; etc.). SmartTensors has been applied to analyze diverse datasets related to a wide range of problems: from COVID-19 to wildfires and climate. The workshop will demonstrate how SmartTensors can be easily applied to these and other application areas. The workshop will include hands-on real-time demonstrations of already existing case studies. The workshop will be designed to be suitable and useful for anyone regardless of their machine learning experience by providing materials at introduction, intermediate and expert levels.

Platinum sponsors

Julia Computing

Gold sponsors

Relational AI

Silver sponsors

Invenia LabsConningPumas AIQuEra Computing Inc.King Abdullah University of Science and TechnologyDataChef.coJeffrey Sarnoff

Media partners

Packt Publication

Fiscal Sponsor

NumFOCUS