Friday, October 22nd at 10am PDT/ 11am MDT/ 12pm CDT/ 1pm EDT

Goals of this webinar:

• To describe the relationship between artificial intelligence (AI), machine learning (ML), and deep learning (DL).
• To describe general scenarios when ML is appropriate.
• To understand methods for comparing the performance of different ML algorithms
• To layout general criteria to examine when evaluating literature that includes machine learning algorithms

Presented by:
Dr. Laura Saba
Associate Professor
Department of Pharmaceutical Sciences
University of Colorado Anschutz Medical Campus

Webinar flyer (pdf)

Link to course material: Guide to evaluating the application of machine learning methods in genetics literature

This webinar series is sponsored by the NIDA Center of Excellence in Omics, Systems Genetics, and the Addictome (P30 DA044223).