This lecture provides a first example of a machine learning algorithm: linear regression. It defines a linear model and its optimization objective using mathematical notation in the context of a real-world motivating application: predicting diabetes risk.
Ring-opening copolymerisation of CO2 with epoxides, bio-derived epoxides, ROCOP of epoxides with bio-derived acid anhydrides, catalysts, mechanisms
Different types of recycling, then focus on chemical recycling of the most important types of polyesters and bio-derived polyesters
Digital media platforms often contain vast amounts of content, whether professionally produced or user-generated. What issues arise with user-generated reactions to this...
Docking-based Virtual Screening is a pivotal technique in Computer-Aided Drug Design (CADD). Learn how this approach rapidly identifies potential hit compounds in...
Machine learning has emerged as a transformative technology in the last decade. This lecture explains what machine learning is via examples of...
