Machine Learning in a Data-Driven Business Environment

  • Online

This course focuses on comprehending diverse enterprise data sources for machine learning. It discusses managing multi-facet enterprise data to enable machine learning,  reviews exploratory analysis of multi-facet enterprise data, and training, validating, and testing machine learning models.


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: 978-1-5386-8606-5

Machine Learning in a Data-Driven Business Environment
  • Course Provider: Educational Activities
  • Course Number: EDP591
  • Duration (Hours): 1
  • Credits: 0.1 CEU/ 1 PDH