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#High-dimensional Data

Showing: 30 courses
Broad Institute

Diffusion Models Towards High-Dimensional Generative Optimization

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Explore diffusion models for high-dimensional generative optimization in AI, focusing on biomedical applications and machine learning advancements.
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1 Lesons
1 hour 2 minutes
On-Demand
Free-Video
Fields Institute

PCA for High-Dimensional Heteroscedastic Data

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Explore optimal weighting for PCA in high-dimensional heteroscedastic data, improving recovery of underlying components and addressing challenges in modern applications with heterogeneous datasets.
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10 Lesons
40 minutes
On-Demand
Free-Video
Applied Algebraic Topology Network

Nonlinear Dynamics, High Dimensional Data, and Persistent Homology

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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.
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18 Lesons
1 hour 9 minutes
On-Demand
Free-Video
Simons Institute

Sketching High-Dimensional Data

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Explore techniques for efficiently summarizing and analyzing large datasets in high-dimensional spaces, focusing on probability, geometry, and computational methods.
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1 Lesons
1 hour 10 minutes
On-Demand
Free-Video
Alan Turing Institute

Geometric Graph-Based Methods for High Dimensional Data

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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.
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1 Lesons
1 hour 5 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Discrete Morse Graph Skeletonization and Application to Local Structures of scRNA-seq Data

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Explores topological data analysis for extracting graph skeletons from high-dimensional data, with applications in analyzing local structures of scRNA-seq datasets across brain regions.
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1 Lesons
52 minutes
On-Demand
Free-Video
Fields Institute

Detecting Non-Trivial Cycles of Point Clouds and Time Series Data on Manifolds

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Explore techniques for identifying complex cycles in point clouds and time series data on manifolds, with applications in machine learning and dynamical systems.
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1 Lesons
25 minutes
On-Demand
Free-Video
Simons Institute

Tensor Graphical Models for Complex and High Dimensional Data

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Explore advanced statistical methods for analyzing complex, high-dimensional data using tensor graphical models, with applications in algorithmic inference and combinatorial structures.
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1 Lesons
1 hour
On-Demand
Free-Video
International Centre for Theoretical Sciences

Fitting High-dimensional Data and Model Selection - Lecture

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Explore techniques for fitting high-dimensional data and selecting appropriate models in biological evolution, focusing on polygenic adaptation and phenotypic variation.
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1 Lesons
38 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

New Performance Guarantees for Tukey's Median - Lecture

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Explore Tukey's depth concept, its applications in robust statistics and social choice, and recent advancements in performance guarantees for Tukey's median in high-dimensional data analysis.
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1 Lesons
49 minutes
On-Demand
Free-Video
Simons Institute

Towards Practical Distribution Testing

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Explore practical algorithms for testing statistical correctness of samplers in high-dimensional settings, focusing on grey-box models and conditional sampling for efficient TV distance estimation.
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1 Lesons
23 minutes
On-Demand
Free-Video
Georgia Tech Research

Mean Estimation: Median of Means Tournaments - Lecture 2

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Explore mean estimation techniques using median of means tournaments in this advanced statistical lecture by Gabor Lugosi from Pompeu Fabra University.
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1 Lesons
51 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

High-Dimension Perspective on Extracting & Encoding Information in Chemical Systems

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Explore high-dimensional data extraction and encoding in complex chemical systems, focusing on exascale computing opportunities, multiscale correlations, and challenges in feature selection and interpretability.
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1 Lesons
53 minutes
On-Demand
Free-Video
Steve Brunton

Deep Learning of Dynamics and Coordinates with SINDy Autoencoders

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Discover effective coordinate systems and models simultaneously using SINDy autoencoders, a novel approach for analyzing high-dimensional data in dynamical systems.
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7 Lesons
25 minutes
On-Demand
Free-Video
Simons Institute

Recent Developments in Supervised Learning With Noise

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Explore recent advancements in supervised learning with noise, focusing on high-dimensional scenarios, noise models, and innovative techniques to overcome learning challenges.
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14 Lesons
58 minutes
On-Demand
Free-Video
Hausdorff Center for Mathematics

Non Asymptotic Analysis of L1 Support Vector Machines

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Explores non-asymptotic analysis of l1 support vector machines for sparse classification in high-dimensional data, providing error guarantees applicable to real-world scenarios.
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1 Lesons
48 minutes
On-Demand
Free-Video
Society for Industrial and Applied Mathematics

Normalization Effects on Neural Networks: Generalization and High-Dimensional Applications - SIAM FME Talk

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Exploring neural network performance, normalization effects, and high-dimensional PDE solving using deep learning. Insights on generalization properties and applications in mathematical finance.
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1 Lesons
57 minutes
On-Demand
Free-Video
ICTP-SAIFR

Machine Learning for Quantum Matter - Lecture 1

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Explore machine learning applications in quantum matter, covering classical algorithms, high-dimensional data, supervised learning, neural networks, and practical examples in physics.
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26 Lesons
1 hour 18 minutes
On-Demand
Free-Video
Valence Labs

Efficiently Exploring Combinatorial Perturbations From High Dimensional Observation

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Explore efficient methods for analyzing combinatorial perturbations in high-dimensional data, focusing on innovative approaches and practical applications.
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1 Lesons
45 minutes
On-Demand
Free-Video
Center for Language & Speech Processing(CLSP), JHU

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

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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.
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1 Lesons
1 hour 9 minutes
On-Demand
Free-Video
Simons Institute

Massively Parallel Algorithms for High-Dimensional Euclidean Minimum Spanning Tree

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Efficient distributed algorithms for clustering high-dimensional data using Euclidean Minimum Spanning Tree, achieving constant factor approximation in O~(loglogn) rounds of MPC model.
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1 Lesons
28 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Overfitting: Benign, Tempered and Harmful - Lecture on Machine Learning Regularization

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Explore the nuanced understanding of overfitting in neural networks, examining benign, tempered, and harmful effects on model performance based on data properties and training conditions.
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1 Lesons
51 minutes
On-Demand
Free-Video
Pinecone

Pinecone Vector Database - Build Knowledgeable AI

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Discover vector databases' advantages, explore Pinecone's innovative features, and watch a live demo on getting started with its powerful search capabilities.
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1 Lesons
38 minutes
On-Demand
Free-Video
VinAI

Nonlinear Statistical Modeling for High-Dimensional and Small Sample Data

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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.
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1 Lesons
57 minutes
On-Demand
Free-Video
Pinecone

Pinecone Vector Database - Building Knowledgeable AI

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Discover vector databases for AI, explore Pinecone's features, and learn implementation through a live demo to enhance your AI projects with efficient data management.
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1 Lesons
56 minutes
On-Demand
Free-Video
Applied Algebraic Topology Network

Single-cell Trajectory Analysis with V-Mapper

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Explore V-Mapper, an innovative method for analyzing single-cell gene expression data. Learn how it extracts topology and flow of cell differentiation, enhancing trajectory inference in high-dimensional spaces.
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1 Lesons
43 minutes
On-Demand
Free-Video
Toronto Machine Learning Series (TMLS)

D-SOS: Dataset Shift with Outlier Scores

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Explore a scalable two-sample test for dataset shift using outlier scores, focusing on low-density regions and comparing contamination rates across samples.
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1 Lesons
1 hour 5 minutes
On-Demand
Free-Video
ChemicalQDevice

Tensor Networks vs. PCA and PLS for High Dimensional Medical Datasets

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Explore dimensionality reduction techniques for high-dimensional medical data. Compare tensor networks with PCA and PLS, gaining insights on their applications and effectiveness in handling complex datasets.
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1 Lesons
1 hour 5 minutes
On-Demand
Free-Video
CNCF [Cloud Native Computing Foundation]

Building Resilience: Effective Backup and Disaster Recovery for Vector Databases on Kubernetes

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Master effective backup and disaster recovery strategies for vector databases on Kubernetes, focusing on data protection, integrity, and availability using Kanister for AI-driven applications.
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1 Lesons
35 minutes
On-Demand
Free-Video
Centre International de Rencontres Mathématiques

High-Dimensional Classification with Deep Neural Networks: Decision Boundaries

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Explore high-dimensional classification theory, focusing on decision boundaries, noise, and margin conditions in neural networks, with applications to efficient approximation and learning rates.
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1 Lesons
45 minutes
On-Demand
Free-Video