Focus Program on Data Science, Approximation Theory, and Harmonic Analysis

The Fields Institute is a centre for mathematical research activity - a place where mathematicians from Canada and abroad, from academia, business, industry and financial institutions, can come together to carry out research and formulate problems of mutual interest. Our mission is to provide a supportive and stimulating environment for mathematics innovation and education.The Fields Institute promotes mathematical activity in Canada and helps to expand the application of mathematics in modern society.

Fields Institute

The Fields Institute

This website is to RSVP to attend events at the Focus Program on Data Science, Approximation Theory, and Harmonic Analysis (May 9 - June 10, 2022). A limited number of in-person tickets closer to the event - we will follow up with all registrants closer to the date about those tickets, as well as online remote participation instructions. When registering for tickets, please choose from the following Workshops and Mini-courses: Workshops and Conferences
<ul><li>Workshop on Computational Harmonic Analysis and Linear Algebra
 (May 9 - 13, 2022)
</li><li>Workshop on Manifold and Graph-Based Learning (May 16 - 20, 2022)
</li><li>Workshop on PDE Methods in Data Science and Machine Learning
 (May 24 - 27, 2022)
</li><li>Workshop on Neural Networks and Deep Learning
 (May 30 - June 3, 2022)
</li></ul>Courses
<ul><li>Mini-course on the Scattering Transform
 (May 9 - 13, 2022)
</li><li>Mini-course on Manifold Learning
 (May 16 - 20, 2022)
</li><li>Mini-course on the Lagrange Transform in Data Science and Signal Processing
 (May 24 - 27, 2022)
</li><li>Mini-course on Neural Networks &amp; Deep Learning
 (May 30 - June 3, 2022)</li></ul>More information about all the courses, and the event schedule, can be found here: http://www.fields.utoronto.ca/activities/21-22/dataThe interaction between Harmonic Analysis, Functional Analysis, Approximation Theory, Signal and Image Processing, Machine Learning, Big Data, and other areas of engineering produced fundamental tools that benefitted the scientific community and were powerful for applications, e.g., Wavelet Theory, B-Splines, Compressed Sensing, and many others.Data Science is an all-encompassing field that uses many tools from Statistics, Computer Science, and Mathematics. In particular, recently deep learning techniques solved problems that were considered intractable. Although the new techniques in Data Science are extremely powerful, the mathematical underpinning is still in its infancy and needs to be better developed.The goal of this conference is to bring together experts from various areas of Mathematics and Data Science in order to learn about the state of the art tools and advances in Data Science, the current open problems in the area, the mathematical challenges, and the new mathematical problems that state of the art methods produced. Ultimately, this interaction will help new developments in Mathematics and Data Science and will produce new tools and new understanding that can be used to solve problems more efficiently and with better theoretical guarantees.

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Focus Program on Data Science, Approximation Theory, and Harmonic Analysis

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Focus Program on Data Science, Approximation Theory, and Harmonic Analysis

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