High-dimensional Data Courses and Certifications

Simons Institute

Sketching High-Dimensional Data

Explore techniques for efficiently summarizing and analyzing large datasets in high-dimensional spaces, focusing on probability, geometry, and computational methods.

• YouTube
• 1 hour 10 minutes
• On-Demand
• Free Video

Alan Turing Institute

Geometric Graph-Based Methods for High Dimensional Data

Explore geometric graph-based methods for segmenting large datasets, combining nonlinear PDE image segmentation with linear algebra techniques to solve graph cut optimization problems in various applications.

• YouTube
• 1 hour 5 minutes
• On-Demand
• Free Video

High-Dimensional Data Analysis

15 ratings at edX

A focus on several techniques that are widely used in the analysis of high-dimensional data.

• edX
• 4 weeks, 2-4 hours a week
• On-Demand
• Free Online Course (Audit)

Institut des Hautes Etudes Scientifiques (IHES)

Optimal Rates of Exact Recovery of the Matching Map

Explore the mathematical problem of estimating matching maps between noisy observations, including permutation estimation and recovery with unknown match sizes, with proven optimal rates and efficient algorithms.

• YouTube
• 52 minutes
• On-Demand
• Free Video

Cambridge Materials

Identifying Informative Distance Measures in High-Dimensional Feature Spaces

Explore Prof. Alessandro Laio's approach to assessing relative information in distance measures for high-dimensional data, helping identify the most informative measures for statistical learning applications.

• YouTube
• 47 minutes
• On-Demand
• Free Video

Data and Visual Analytics

This course will introduce students to the field by covering state­-of-­the-art modeling, analysis and visualization techniques.

• Udacity
• 2 hours
• On-Demand
• Free Online Course

Dimensionality Reduction in Python

13 ratings at DataCamp

Understand the concept of reducing dimensionality in your data, and master the techniques to do so in Python.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Simons Institute

Tensor Graphical Models for Complex and High Dimensional Data

Explore advanced statistical methods for analyzing complex, high-dimensional data using tensor graphical models, with applications in algorithmic inference and combinatorial structures.

• YouTube
• 1 hour
• On-Demand
• Free Video

Applied Algebraic Topology Network

Nonlinear Dynamics, High Dimensional Data, and Persistent Homology

Explore nonlinear dynamics, high-dimensional data analysis, and persistent homology with Konstantin Mischaikow. Learn about algebraic topology applications, persistence diagrams, and recent advancements in data science.

• YouTube
• 1 hour 9 minutes
• On-Demand
• Free Video

Fields Institute

PCA for High-Dimensional Heteroscedastic Data

Explore optimal weighting for PCA in high-dimensional heteroscedastic data, improving recovery of underlying components and addressing challenges in modern applications with heterogeneous datasets.

• YouTube
• 40 minutes
• On-Demand
• Free Video

VinAI

Nonlinear Statistical Modeling for High-Dimensional and Small Sample Data

Explore nonlinear feature selection methods for high-dimensional, small sample data. Learn about HSIC Lasso, kernel PSIs, and feature selection networks for advanced machine learning applications.

• YouTube
• 57 minutes
• On-Demand
• Free Video

Center for Language & Speech Processing(CLSP), JHU

Pursuit of Low-dimensional Structures in High-dimensional Data - 2013

Explore techniques for extracting low-dimensional structures from high-dimensional data, with applications in computer vision, image processing, and pattern recognition. Learn about convex optimization and regularization methods.

• YouTube
• 1 hour 9 minutes
• On-Demand
• Free Video

International Centre for Theoretical Sciences

Fitting High-dimensional Data and Model Selection - Lecture

Explore techniques for fitting high-dimensional data and selecting appropriate models in biological evolution, focusing on polygenic adaptation and phenotypic variation.

• YouTube
• 38 minutes
• On-Demand
• Free Video

Center for Language & Speech Processing(CLSP), JHU

Learning Energy-Based Models of High-Dimensional Data

Discover how Geoffrey Hinton approaches energy-based models for complex, high-dimensional data analysis and machine learning applications.

• YouTube
• 1 hour 5 minutes
• On-Demand
• Free Video

Center for Language & Speech Processing(CLSP), JHU

Pursuit of Low-Dimensional Structures in High-Dimensional Data

Discover mathematical techniques for finding low-dimensional patterns in complex, high-dimensional datasets through advanced computational methods and algorithms.

• YouTube
• 1 hour 9 minutes
• On-Demand
• Free Video