#140 Isabelle Guyon: The Future of AI and Support Vector Machines - a podcast by Craig S. Smith

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On episode #139 of Eye on AI , Craig Smith sits down with Isabelle Guyon, a pioneer in the world of machine learning and pattern recognition, and Chair Professor at the University of Paris-Saclay. Isabelle Guyon, renowned for her groundbreaking work with Vladimir Vapnik and Bernhard Boser, has made significant contributions to support-vector machines (SVMs), artificial neural networks, and bioinformatics.

In this episode, we delve into SVMs, a technique that efficiently classifies data by maximizing margins, with applications spanning image classification, text classification, and bioinformatics.

We also explore maximum margin classifiers in the biomedical field, uncovering their unique approach to category distinction. Learn about weighted sum usage and their adaptability based on available data. Discover how maximum margin classifiers apply to labeled and unlabeled data, for both classification and regression tasks.

We wrap things up by discussing the promising prospects of chatbots and language models. Isabelle Guyon shares valuable insights on data preprocessing, bias adjustment methods, and the fusion of SVMs with deep learning to address contemporary challenges.

 

Isabelle Guyon’s LinkedIn: https://www.linkedin.com/in/isabelle-guyon-aa371170

Craig Smith Twitter: https://twitter.com/craigss

Eye on A.I. Twitter: https://twitter.com/EyeOn_AI

 

(00:00) Preview
(00:52) Introduction and MindStudio by YouAi
(04:55) Machine Learning Techniques
(15:15) Classification Methods in Biomedical Applications
(22:40) Support Vector Machines and Kernel Methods
(36:45) Future of Chatbots and Language Models
(41:08) Unsupervised Learning in Deep Learning Importance
(45:53) Outro and MindStudio by YouAi

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