Isabelle Guyon

Isabelle Guyon, a pioneer in machine learning and pattern recognition, discusses support vector machines (SVMs) for image and text classification. She also explores the use of maximum margin classifiers in the biomedical field and the prospects of chatbots and language models. The podcast covers the origins of SVMs, biomarkers for disease classification, and the differences between deep learning and SVMs. Additionally, the speakers discuss the use of SVMs for clustering unlabeled data and Jeff Hinton's forward forward algorithm.