AI Essentials for Healthcare is a self-directed course designed to support professional development on the application of AI in healthcare. Course Objectives Understand the role of AI in advancing healthcare outcomes for all Demystify AI “buzzwords...
This self-guided course presents basic concepts underlying AI/ML as applied to health care data. NOTE: Enrollment is ongoing. currently interactive office hours via Zoom are being offered with the course developers to answer question and review mater...
ABOUT THIS COURSE: This is an asynchronous, self-directed course for beginner level learners. This course introduces the language and core concepts of probability theory and provides basic principles of statistical inference. Engages in practical ex...
Course Description Designed with Frontline Healthcare Workers in mind, this asynchronous course offers a unique opportunity to unlock the potential of Artificial Intelligence (AI) and Machine Learning (ML) without the need for coding expertise. While...
All of Us Researcher Workbench On-Demand Training This is a self-directed course. This course was adopted from the AIHES2022 and PRIME programs, sponsored by the AIM-AHEAD Data Science Training Core. All course videos were recorded Fall 2022 as part ...
About MATCH is part of the AIM-AHEAD Data and Infrastructure Capacity Building (DICB) Program and aims to ignite & accelerate AI and machine learning projects in biomedicine for AIM-AHEAD awardees and their teams. Course description This course p...
This free online program presents the recorded live virtual lectures and discussions, as well as the assignments and supplementary resources made available for participants in Howard University's Virtual Applied Data Science Training Institute (VADST...
Instructor Dr. Shaolei Teng is a Bioinformatician and Biostatistician. He is an Associate Professor and Associate Chair in the Department of Biology at Howard University. He received his PhD in Biochemistry and Molecular Biology from Clemson U...
Course Overview: This course is designed for beginners through intermediate learners with basic Python understanding and aims to provide a solid foundational introduction to Natural Language Processing (NLP), including an exploration of Generative A...