A Ray-based ML Platform for Early Cancer Detection
Offered By: Anyscale via YouTube
Course Description
Overview
Explore a 34-minute presentation detailing Freenome's journey in developing a Ray-based machine learning platform for early cancer detection. Learn how this innovative approach improves scalability and efficiency in model development, potentially accelerating the creation of new cancer diagnosis products. Gain insights applicable to various industries, particularly valuable for teams seeking to enhance and simplify machine learning operations (MLOps). Discover how Ray, an open-source framework, powers ambitious AI workloads, from generative AI to computer vision. Access the accompanying slide deck for a comprehensive overview of the Ray-based ML platform and its impact on early cancer detection research.
Syllabus
A Ray-based ML Platform for Early Cancer Detection
Taught by
Anyscale
Related Courses
Introduction to Artificial IntelligenceStanford University via Udacity Natural Language Processing
Columbia University via Coursera Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent