Compressed Sensing Courses and Certifications

Computational Memory - A Stepping-Stone to Non-Von Neumann Computing?

Explore computational memory and non-von Neumann computing in this Stanford University seminar. Learn about advances in storage class memory, logic design, and applications in deep learning.

• YouTube
• 1 hour 21 minutes
• On-Demand
• Free Online Course

University of Tübingen

Statistical Machine Learning

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Statistical Machine Learning 2020. Part 1: Machine learning and inductive bias. Part 2: Warmup: The kNN Classifier. Part 3: Formal setup, risk, consistency. Part 4: Bayesian decision theory. Part 5: The Bayes classifier.

• YouTube
• 1 day 9 hours
• On-Demand
• Free Online Course

Steve Brunton

Sparsity and Compression

Beating Nyquist with Compressed Sensing, part 2. Robust Principal Component Analysis (RPCA) Robust Modal Decompositions for Fluid Flows. Sparse Regression with the LASSO.PySINDy: A Python Library for Model Discovery.

• YouTube
• 4 hours 30 minutes
• On-Demand
• Free Online Course

Steve Brunton

Intro to Data Science

Dive into data science and machine learning with Steve Brunton's 22-hour program. Learn about neural networks, data visualization, singular value decomposition, linear regression, and more.

• YouTube
• 22 hours
• On-Demand
• Free Online Course

Steve Brunton

Linear Algebra

Singular Value Decomposition (SVD): Dominant Correlations.The Frobenius Norm for Matrices.SVD Method of Snapshots.Matrix Completion and the Netflix Prize.Unitary Transformations.Linear Systems of Equations, Least Squares Regression, Pseudoinverse.

• YouTube
• 19 hours
• On-Demand
• Free Online Course

Steve Brunton

Koopman Analysis

Koopman Observable Subspaces & Finite Linear Representations of Nonlinear Dynamics for Control.Hankel Alternative View of Koopman (HAVOK) Analysis [FULL].Magnetic field reversal and Measles outbreaks: HAVOK models of chaos.Linear model for chaotic Lorenz…

• YouTube
• 3 hours 30 minutes
• On-Demand
• Free Online Course

Steve Brunton

Dynamical Systems

Koopman Observable Subspaces & Finite Linear Representations of Nonlinear Dynamics for Control.Hankel Alternative View of Koopman (HAVOK) Analysis.Magnetic field reversal and Measles outbreaks: HAVOK models of chaos.Linear model for chaotic Lorenz system.

• YouTube
• 6 hours
• On-Demand
• Free Online Course

Steve Brunton

A Compressed Overview of Sparsity

Learn about compressed sensing and its application in engineering mathematics in less than an hour with Steve Brunton. Gain insights into sparsity, compression, and robust statistics.

• YouTube
• 35 minutes
• On-Demand
• Free Online Course

Paul Hand

Theory of GANs for Compressed Sensing

Dive into the theory of GAN priors in Compressed Sensing with this less than 1-hour online lecture by Paul Hand from Northeastern University.

• YouTube
• 57 minutes
• On-Demand
• Free Online Course

Institute for Pure & Applied Mathematics (IPAM)

Splitting the Difference Between Deep and Shallow Solutions of Inverse Problems

Explore the intersection of deep learning and compressed sensing in computational imaging with Ben Recht from UC Berkeley, in a less than 1-hour session offered by IPAM.

• YouTube
• 46 minutes
• On-Demand
• Free Online Course

Fields Institute

Recent Advances in Iterative Solvers for Interior Point Methods

Explore the latest in iterative solvers for interior point methods with this 1-2 hour material from Fields Institute, featuring topics like big data optimization and algorithm comparison.

• YouTube
• 1 hour 7 minutes
• On-Demand
• Free Online Course

Fields Institute

A Family of Measurement Matrices for Generalized Compressed Sensing

Explore generalized compressed sensing with Yaniv Plan from the University of British Columbia in this less than 1-hour session offered by Fields Institute. Dive into signal recovery, measurement matrices, and low-rank matrix recovery.

• YouTube
• 44 minutes
• On-Demand
• Free Online Course

Joint Mathematics Meetings

What Physics Teaches Us About Computation in High Dimensions

Explore high-dimensional computation through physics with Lenka Zdeborová's lecture at the Joint Mathematics Meetings. Learn about phase transitions, deep learning, and neural networks.

• YouTube
• 1 hour
• On-Demand
• Conference Talk

IEEE Signal Processing Society

From Compressed Sensing to Deep Learning - Tasks, Structures and Models

Explore compressed sensing to deep learning with Yonina Eldar, offered by IEEE Signal Processing Society. Learn about task-based structured acquisition, deep adaptive beamforming, and more in under an hour.

• YouTube
• 57 minutes
• On-Demand
• Free Online Course

Institute for Pure & Applied Mathematics (IPAM)

Splines and Imaging - From Compressed Sensing to Deep Neural Networks

Explore the optimality of splines in imaging and deep neural network design with this under 1-hour material from the Institute for Pure & Applied Mathematics.

• YouTube
• 49 minutes
• On-Demand
• Free Online Course