Demystifying Machine Learning: How Data Science Can Help You
Data science & machine learning is about the scientific utilization of your data to increase your situational awareness and reduce uncertainty. When applied, machine learning will help you learn, predict, and improve your business operations. Enterprises that can capitalize on their data will rapidly realize the business value from this perspective.
This free webinar introduces the machine learning development lifecycle and how this can help your organization using three accelerators:
- Organizational Situation: Developing an Organizational Use Case
- Methodology: The Machine Learning Development Lifecycle
- Technology: Machine Learning Frameworks and Skills Development
Join us to learn what machine learning is, what it can do, and identify if you are ready to implement it. Leave ready to enable your organization to apply your data in meaningful ways to grow and thrive.
Date: November 10, 2021
Time: 12:00-1:00 pm CST
Location: Fully virtual, hosted through Zoom
Registration deadline: November 5, 2021
The webinar will be recorded and a copy of the recording will be sent to anyone that is registered.
Dr. Michael J. Pritchard
Dr. Pritchard is an assistant professor and chair of K-State’s machine learning and autonomous systems program. His areas of expertise include machine learning, artificial intelligence, probabilistic programming, cybernetics, mixed/virtual reality, data warehousing and information engineering.
The online training software operates on any Mac or PC system. Your system must have speakers with sound enabled. Microphone and webcam are optional to participate in the program. You will need an internet connection, broadband wired or wireless (3G or 4G/LTE) is recommended.
You will need to download Zoom, a free video conferencing software to participate in the live activities. You can do this from the Zoom web site, or you will be prompted to download it prior to the program. Please review the Zoom system requirements.
If you have any questions regarding the webinar or your registration, please contact Professional Education and Outreach at email@example.com.