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Computational Statistics Courses

Introduction to Bayesian Statistics
Databricks via Coursera
Probability via Computation - Week 4
The Julia Programming Language via YouTube
On the Unreasonable Effectiveness of Compressive Imaging - Ben Adcock, Simon Fraser University
Alan Turing Institute via YouTube
The Mother of All Representer Theorems for Inverse Problems and Machine Learning - Michael Unser
Alan Turing Institute via YouTube
Affine Spline Insights into Deep Learning - Richard Baraniuk, Rice University
Alan Turing Institute via YouTube
The Future of Crime Detection and Prevention
The Royal Institution via YouTube
Optimal Iterative Algorithms for Problems With Random Data
Simons Institute via YouTube
Inverse Problems on Graphs with Geometric Deep Learning
APS Physics via YouTube
Cookbook Lower Bounds for Statistical Inference in Distributed and Constrained Settings - Part 3
IEEE via YouTube
Langevin Monte Carlo: Randomized Midpoint Method Revisited
Alan Turing Institute via YouTube
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