Machine Learning in the Age of Enterprise Big Data
This course focuses on the foundations of big data, machine learning, artificial intelligence, and computational intelligence. It looks at enhancing business intelligence with machine learning, examines the fundamental types of machine learning that drive business insights, and reviews advanced computational intelligence for business processes.
What you will learn:
- Examine the foundations of big data, machine learning, artificial and computational intelligence
- Enhance business intelligence with machine learning
- Review fundamental types of machine learning that drive business insights
- Discuss advanced computational intelligence for business processes
This Course is part of the following Course Program:
Machine Learning: Predictive Analysis for Business Decisions
Courses included in this program:
Who should attend: Computer engineers, business executives, industry executives, industry leaders, business leaders, technical managers, data scientists, and data engineers
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