Machine Learning Algorithms, Models, and Systems Integration

  • Online

This course focuses on understanding software versus algorithms versus models. It reviews machine learning model training, and integration lifecycle. It also reviews provenance and tractability in machine learning models and best practices for machine learning model integration into business processes.


Grant Scott Photo

Grant Scott

Grant Scott is an Assistant Professor in the Center for Geospatial Intelligence (CGI) and the Electrical Engineering and Computer Science Department at the University of Missouri.

Throughout his career, Dr. Grant Scott has conducted extensive research on scaling machine learning up for big data. His research focuses on Applied Machine Learning, Computer Vision, as well as Advanced Pattern Analysis, High-dimensional Data Analytics, Advanced Data Systems, and Multi-modal Analytics.

Dr. Scott is a Senior Member of the IEEE Computational Intelligence Society and the IEEE Geoscience Remote Sensing Society.

Publication Year: 2020

ISBN: 978-1-7281-7747-2

Machine Learning Algorithms, Models, and Systems Integration
  • Course Provider: Educational Activities
  • Course Number: EDP593
  • Duration (Hours): 1
  • Credits: 0.1 CEU/ 1 PDH