Virtual Panel “Continual learning in practice”


Detalles
Feel free to add your questions/topics to discuss on the Panel by filling in this form - https://forms.gle/nAatBPWViYXby76bA
ODSC team would like to invite you to participate in FREE ODSC Virtual Panel “Continual learning in practice”
The main goal of the panel is to talk about the benefits of continual learning in data science, especially in today's competitive environment. Our panel of experts will discuss how data evolves, the various architectures that manage Machine Learning models in production, and how these models adapt to shifting data distributions as well as cope with outliers and new tasks. During the panel, you will learn the latest models, advancements, and trends from the top practitioners and would be able to ask questions directly to the speakers.
Date: February 23d, 2021
Time: 1:00 -1:35 pm EST (GMT-5)
To access this webinar, please register using the link below:
https://aiplus.odsc.com/courses/virtual-panel-continual-learning-in-practice
We will feature 5 speakers who will share their expertise on how to apply continual learning to your machine learning models. They will provide key insights and solutions to the challenges presented by adaptive learning and conduct virtual Q&A.
-Aric LaBarr, PhD - Associate Professor of Analytics | Institute for Advanced Analytics at NC State University
-Dr. Jon Krohn - Chief Data Scientist at Untapt, Author of Deep Learning Illustrated
-Mihaela van der Schaar, PhD - John Humphrey Plummer Professor of Machine Learning, AI, and Medicine at University of Cambridge
-Sheamus McGovern - Software Developer and Ai Expert
-Anatoli Gorchet, PhD - CTO and Co-founder of Neurala
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Virtual Panel “Continual learning in practice”