#140 Isabelle Guyon: The Future of AI and Support Vector Machines

Sep 27, 2023

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.

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Introduction

00:00 • 4min

Origins of Support Vector Machines

03:57 • 12min

Using Biomarkers and Coefficients for Disease Classification and Risk Determination

15:39 • 5min

Deep Learning vs Support Vector Machines

20:50 • 13min

Support Vector Machines and Unlabeled Data

33:43 • 10min

Exploring Jeff Hinton's Forward Forward Algorithm and Unsuoervised Learning

43:19 • 4min

This episode is sponsored by MindStudio by YouAi. MindStudio is the best way to build an AI business. Start driving some serious revenue before everyone else. Mind Studio allows you to use conversational language to program incredibly powerful AI tools. No coding knowledge is needed to start your AI business.

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