SketchySVD - Joel Tropp, California Institute of Technology
This workshop - organised under the auspices of the Isaac Newton Institute on “Approximation, sampling and compression in data science” — brings together leading researchers in the general fields of mathematics, statistics, computer science and engineering. About the event The workshop ai
From playlist Mathematics of data: Structured representations for sensing, approximation and learning
The mother of all representer theorems for inverse problems & machine learning - Michael Unser
This workshop - organised under the auspices of the Isaac Newton Institute on “Approximation, sampling and compression in data science” — brings together leading researchers in the general fields of mathematics, statistics, computer science and engineering. About the event The workshop ai
From playlist Mathematics of data: Structured representations for sensing, approximation and learning
9. Understanding Experimental Data
MIT 6.0002 Introduction to Computational Thinking and Data Science, Fall 2016 View the complete course: http://ocw.mit.edu/6-0002F16 Instructor: Eric Grimson Prof. Grimson talks about how to model experimental data in a way that gives a sense of the underlying mechanism and to predict beh
From playlist MIT 6.0002 Introduction to Computational Thinking and Data Science, Fall 2016
Deep dictionary learning approaches for image super-resolution - Pier Luigi Dragotti, Imperial
This workshop - organised under the auspices of the Isaac Newton Institute on “Approximation, sampling and compression in data science” — brings together leading researchers in the general fields of mathematics, statistics, computer science and engineering. About the event The workshop ai
From playlist Mathematics of data: Structured representations for sensing, approximation and learning
Optimal transport for machine learning - Gabriel Peyre, Ecole Normale Superieure
This workshop - organised under the auspices of the Isaac Newton Institute on “Approximation, sampling and compression in data science” — brings together leading researchers in the general fields of mathematics, statistics, computer science and engineering. About the event The workshop ai
From playlist Mathematics of data: Structured representations for sensing, approximation and learning
On the (unreasonable) effectiveness of compressive imaging – Ben Adcock, Simon Fraser University
This workshop - organised under the auspices of the Isaac Newton Institute on “Approximation, sampling and compression in data science” — brings together leading researchers in the general fields of mathematics, statistics, computer science and engineering. About the event The workshop ai
From playlist Mathematics of data: Structured representations for sensing, approximation and learning
In this video I will show you a very good book on discrete math. This book has lots of the math that you need for computer science. It also has full solutions to every single problem. The book is titled Concrete Mathematics and it was written by Graham, Knuth, Patashnik. Here is the book:
From playlist Book Reviews
Welcome to part one of computer science terminology, where we take a dive into understanding some of the terms used in computer science and software development. We've started with the basics and will continue to get more complex as this series progresses. --------------------------------
From playlist Computer Science
Mathematics of Data Science - Data Science is Everywhere
Data science - what's under the hood? This animation, from the SIAM Journal on Mathematics of Data Science, explains that data science really is EVERYWHERE! SIAM Journal on Mathematics of Data Science (SIMODS) publishes work that advances mathematical, statistical, and computational meth
From playlist What is math used for?
SIAM publishes 16 peer-reviewed journals covering a broad range of disciplines in applied math and computational science, including SIAM Review, a quarterly journal of expository survey and education-oriented papers; SIAM/ASA Journal on Uncertainty Quantification, all-electronic and new in
From playlist SIAM Conference Videos
ICM 2006 Closing Round Table Are pure and applied mathematics drifting apart? Intervention by John Ball (Slides https://www.mathunion.org/fileadmin/IMU/Videos/ICM2006/tars/table2006_ball.pdf) Intervention by Lennart Carleson (Slides https://www.mathunion.org/fileadmin/IMU/Videos/ICM2006/
From playlist Number Theory
Shmuel Weinberger interviewed by Katharine Turner (February 9, 2022)
Shmuel Weinberger interviewed by Katharine Turner (February 9, 2022) Erratum: The comment attributed to Fermi at minute 55:50 in the video (about the opposite of a deep truth) is actually due to Bohr. For more on the interview series, along with the advertisement posters, please see http
From playlist AATRN Interviews
Using Algebra and Geometry in the Real World
You hear terms like “algebra” and “geometry” and these theories we memorized in high school start to dance a jig in our heads – a jig many of us weren’t overly interested in! But the past decade has seen an explosion of applications of algebra, geometry, and topology to the real world, lik
From playlist What is math used for?
Robert Adler interviewed by Omer Bobrowski (October 20, 2021)
Robert Adler interviewed by Omer Bobrowski (October 20, 2021) For more on the interview series, along with the advertisement posters, please see https://www.aatrn.net/interviews.
From playlist AATRN Interviews
Lennart Carleson - The Abel Prize interview 2006
0:00 Glimpses of the Abel Prize ceremony made for Norwegian television 05:00 Interview proper starts (Norwegian) 07:46 (English) Almost-everywhere convergence of Fourier series for square-integrable (L^2) functions 10:08 Interesting example of need to have conviction about outcome before c
From playlist The Abel Prize Interviews
11b Machine Learning: Computational Complexity
Short lecture on the concept of computational complexity.
From playlist Machine Learning
IMS Public Lecture: The Mathematics of Scientific Computation
Eitan Tadmor, University of Maryland, USA
From playlist Public Lectures
Retract rationality of some (exceptional) group varieties by Maneesh Thakur
DATE & TIME 05 November 2016 to 14 November 2016 VENUE Ramanujan Lecture Hall, ICTS Bangalore Computational techniques are of great help in dealing with substantial, otherwise intractable examples, possibly leading to further structural insights and the detection of patterns in many abstra
From playlist Group Theory and Computational Methods