Machine Learning: Predictive Analysis for Business Decisions
This course provides an overview of machine learning in the age of big data, cloud computing, and our data-saturated society. Business leaders will learn of the various types of machine learning, and how they can be used with a variety of enterprise data holdings and publicly available data to develop deeper insights in the business environment; understand basic computational intelligence paradigms, and how machine learning is integral to the field; learn the technical vocabulary and high-level concepts of machine learning in a manner that demystifies the topic and enables them to ask the right questions on the deployment of machine learning into business operations.
What you will learn:
- Examine the fundamental types of machine learning that drive business insights
- Explore how to manage multi-facet enterprise data to enable machine learning
- Review the application of data mining and diagnostic analytics to measure business performance
- Gain an understanding of software, algorithms, and models
- Understand the concepts and techniques necessary for deploying scalable machine learning into business processes
Courses included in this program:
Course Program Length: 5 hours
Who Should Attend: Computer Engineers, Business Executives, Industry Executives, Industry Leaders, Business Leaders, Technical Managers, Data Scientists, and Data Engineers
Instructor:
Grant Scott, Assistant Professor in the Center for Geospatial Intelligence (CGI) and the Electrical Engineering and Computer Science Department, University of Missouri
Publication Year: 2020
ISBN: 978-1-7281-7749-6
Upon successful completion of this course program, you are eligible to receive a digital badge that can be shared on LinkedIn and other social networks. If you would like to request a badge for this program, please contact us: credentials@ieee.org.