Free Online

High-dimensional Statistics Courses and Certifications

Master statistical methods for analyzing complex, high-dimensional data using approximate message passing, robust estimation, and dimension reduction techniques. Access cutting-edge research lectures from leading institutions like Simons Institute and Alan Turing Institute on YouTube, bridging machine learning theory with practical optimization algorithms.

54 courses

Related Subjects

Showing 54 courses

Filter by

High-dimensional Statistics Courses and Certifications

Statistical Applications of Wasserstein Gradient Flows

Efficient Algorithms for Outlier-Robust Regression

The Kikuchi Hierarchy and Tensor PCA

Weaving Together Machine Learning, Theoretical Physics, and Neuroscience

From Simplicity to Complexity: The Double Descent Effect in Modern Machine Learning

Adaptive Bayesian Predictive Inference

Auto-regressive Approximations to Non-stationary Time Series: Inference and Applications

Beating the Odds - Learning or Hallucinating? The Science of Data Today

From Quantum Entanglement to Future Data-Driven Engineering - Rothschild Lecture

Mathematical Problems in Machine Learning - Lecture 4/4

Mathematical Problems in Machine Learning - Lecture 3/4

Mathematical Problems in Machine Learning - Lecture 2/4

Mathematical Problems in Machine Learning - Part 2 of 4

Mean and Location Estimation with Optimal Constants - UW Madison

Surprising Phenomena of Max-LP-Margin Classifiers in High Dimensions

High-dimensional Statistics Courses and Certifications

Statistical Applications of Wasserstein Gradient Flows

Efficient Algorithms for Outlier-Robust Regression

The Kikuchi Hierarchy and Tensor PCA

Weaving Together Machine Learning, Theoretical Physics, and Neuroscience

From Simplicity to Complexity: The Double Descent Effect in Modern Machine Learning

Adaptive Bayesian Predictive Inference

Auto-regressive Approximations to Non-stationary Time Series: Inference and Applications

Beating the Odds - Learning or Hallucinating? The Science of Data Today

From Quantum Entanglement to Future Data-Driven Engineering - Rothschild Lecture

Mathematical Problems in Machine Learning - Lecture 4/4

Mathematical Problems in Machine Learning - Lecture 3/4

Mathematical Problems in Machine Learning - Lecture 2/4

Mathematical Problems in Machine Learning - Part 2 of 4

Mean and Location Estimation with Optimal Constants - UW Madison

Surprising Phenomena of Max-LP-Margin Classifiers in High Dimensions

Never Stop Learning.