Introduction to Machine Learning
Presenter: Wonkyung Jang, Ph.D.
Larger data sets and use of predictive analytical techniques have advanced conclusions being made with Family Science research. Trying to understand all possible algorithms or intricate patterns with large data sets can be time consuming and cost prohibitive. A solution to this challenge is using machine learning techniques to extract meaning from data. Machine learning detects patterns in massive datasets and makes predictions based on what the computer learns from those patterns quicker than what researchers could do manually. Webinar attendees will be introduced to machine learning techniques and innovative ways in which machine learning can improve understanding of child development and family dynamics.
Approved for 1.5 hours of CFLE continuing education.
Registration coming soon
On-Demand Webinar Recording
Unable to attend the live webinar? Your registration will grant you access to watch the recording at your convenience.
Webinars are a great resource to use in the classroom. Classroom and departmental use licenses allow faculty members to share the video in class or embed the video in their online learning management system. Departmental use licenses allow more than on faculty member to use the webinar in their class. We request that links or downloads not be shared with students.
License for classroom use by one professor is available for $134 for NCFR members, $204 for nonmembers.
License for departmental use (multiple professors) is available for $184 for NCFR members, $324 for nonmembers.
Departmental license for CFLE-approved programs is $159.