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#Singular Value Decomposition

Showing: 37 courses
Steve Brunton

Singular Value Decomposition

2 rewiews
Comprehensive exploration of Singular Value Decomposition, covering mathematical foundations, applications in data processing, and implementation in MATLAB and Python for various real-world scenarios.
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43 Lesons
7 hours
On-Demand
Free-Video
Steve Brunton

Data-Driven Science and Engineering

1 rewiews
Explora técnicas avanzadas de aprendizaje automático, sistemas dinámicos y control con ejemplos prácticos en Matlab y Python, basados en el libro "Data-Driven Science and Engineering" de Brunton y Kutz.
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98 Lesons
20 hours
On-Demand
Free-Video
NPTEL

Linear System Theory

0 rewiews
We will cover time invariant, time varying, continuous and discrete time systems. This course will cover concepts of stability, controllability, observability, and design and serve as a necessary foundation for further study in the area of systems and co…
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47 Lesons
1 day 2 hours
On-Demand
Free-Video
NPTEL

Applied Linear Algebra

0 rewiews
Explore vector spaces, linear maps, eigenvalues, and applications in systems, algorithms, and optimization. Gain practical skills in linear algebra for various fields.
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48 Lesons
1 day
On-Demand
Free-Video
University of Central Florida

Linear Algebra Basics for Computer Vision - Lecture 2

0 rewiews
Explore essential linear algebra concepts including vectors, matrices, transformations, and SVD, with practical applications in computer vision and machine learning.
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13 Lesons
1 hour 8 minutes
On-Demand
Free-Video
statisticsmatt

Matrices

0 rewiews
Explore advanced matrix concepts including Kronecker product, spectral decomposition, singular value decomposition, and projection matrices, with applications in statistics and linear algebra.
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22 Lesons
4 hours 30 minutes
On-Demand
Free-Video
Serrano.Academy

Unsupervised Learning

0 rewiews
Explore key unsupervised learning techniques including clustering, dimensionality reduction, and generative models. Gain insights into real-world applications like recommendation systems and image compression.
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10 Lesons
4 hours 30 minutes
On-Demand
Free-Video
NIOS

Advanced Matrix Theory and Linear Algebra for Engineers

0 rewiews
Comprehensive exploration of advanced linear algebra concepts for engineers, covering vector spaces, transformations, orthogonality, diagonalization, and singular value decomposition.
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34 Lesons
1 day 8 hours
On-Demand
Free-Video

Linear Algebra

0 rewiews
Comprehensive exploration of linear algebra concepts, from basic equations to advanced topics like eigenvalues and singular value decomposition, with practical applications and proofs.
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40 Lesons
7 hours
On-Demand
Free-Video
Steve Brunton

Sparse Nonlinear Dynamics Models with SINDy - The Library of Candidate Nonlinearities

0 rewiews
Explores advanced techniques for SINDy algorithm, including control variables, bifurcation parameters, rational functions, dimensionality reduction, and symmetry constraints in nonlinear dynamics modeling.
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7 Lesons
27 minutes
On-Demand
Free-Video
Steve Brunton

Linear Algebra

0 rewiews
Comprehensive exploration of linear algebra concepts, including SVD, Fourier analysis, and compressed sensing, with practical applications and coding examples in MATLAB and Python.
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105 Lesons
19 hours
On-Demand
Free-Video
The Julia Programming Language

Principal Component Analysis - Lecture 8

0 rewiews
Explore Principal Component Analysis: from matrix rank to SVD. Learn to measure data cloud size, understand correlated data, and navigate high-dimensional spaces using statistical techniques.
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14 Lesons
55 minutes
On-Demand
Free-Video
The Julia Programming Language

Structure and Matrices in Julia Programming - Lecture 3

0 rewiews
Explore matrices, sparse structures, and SVD for image compression and computational thinking in Julia, with practical applications in machine learning and linear algebra.
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13 Lesons
33 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

MVG Mechanism - Differential Privacy under Matrix-Valued Query

0 rewiews
Explore a novel differential privacy mechanism for matrix-valued queries, addressing challenges in data protection and improving upon existing methods.
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18 Lesons
23 minutes
On-Demand
Free-Video
Simons Institute

Foundations of Data Science II

0 rewiews
Explore advanced data science concepts including SVD, Gaussian mixtures, and Markov chains. Learn about randomized algorithms and low-rank approximations for efficient data handling.
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17 Lesons
55 minutes
On-Demand
Free-Video
Simons Institute

Intro and Foundations of Data Science I

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Explore key concepts in data science, including random variables, distributions, dimension reduction, and singular value decomposition, with experts from Microsoft Research India.
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14 Lesons
58 minutes
On-Demand
Free-Video
Alan Turing Institute

Mathematical Representations and Models - Professor Jared Tanner, Oxford University

0 rewiews
Explore mathematical models for high-dimensional data analysis with Oxford's Prof. Tanner. Learn about Fourier series, localisation, coherence, and advanced techniques for efficient information extraction and processing.
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12 Lesons
53 minutes
On-Demand
Free-Video
Serrano.Academy

Singular Value Decomposition and Image Compression

0 rewiews
Learn singular value decomposition (SVD) and its application in image compression. Explore matrix transformations, dimensionality reduction, and practical implementation techniques.
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7 Lesons
29 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Learning-Based Low-Rank Approximations - IPAM at UCLA

0 rewiews
Explores learning-based algorithms for low-rank matrix approximation, focusing on optimizing sketching matrices using training data to significantly reduce approximation errors in efficient computational methods.
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1 Lesons
49 minutes
On-Demand
Free-Video
Steve Brunton

SVD Part 2

0 rewiews
Explore advanced concepts of Singular Value Decomposition (SVD) in data analysis and dimensionality reduction, building on fundamental principles to enhance understanding of matrix factorization techniques.
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1 Lesons
49 minutes
On-Demand
Free-Video
Data Science Dojo

Singular Value Decomposition with R - Introduction to Text Analytics with R Part 8

0 rewiews
Learn to perform truncated SVD, project TF-IDF vectors into semantic space, compare decision tree and random forest models, and explore random forest tuning using R packages like irlba and caret for text analytics.
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1 Lesons
34 minutes
On-Demand
Free-Video
USENIX

Efficient Decentralized Federated Singular Vector Decomposition

0 rewiews
Innovative system for efficient decentralized federated SVD, enhancing privacy and performance in distributed applications. Outperforms existing methods with significant speed improvements and larger throughput.
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1 Lesons
19 minutes
On-Demand
Free-Video
Georgia Tech Research

Spectral Methods Meets Asymmetry: Two Recent Stories - Lecture 4

0 rewiews
Explore spectral methods for asymmetric data matrices, covering top-K ranking and matrix de-noising. Learn advantages over traditional approaches in data analysis and estimation.
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1 Lesons
49 minutes
On-Demand
Free-Video
Society for Industrial and Applied Mathematics

Lossy Compression in Seismology - Improving Efficiency and Speed

0 rewiews
Explore lossy compression techniques in seismology to manage large datasets, improve storage, and accelerate analysis without significant loss of accuracy or event detection capabilities.
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1 Lesons
58 minutes
On-Demand
Free-Video
Data Science Dojo

Introduction to Text Analytics with R - Overview

0 rewiews
Explore text analytics with R: tokenization, feature engineering, classification models. Learn data cleaning, analysis, and visualization using a spam dataset. Practical introduction for aspiring data scientists.
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10 Lesons
31 minutes
On-Demand
Free-Video
Discover AI

Parameter Efficient Fine-Tuning with Multiple LoRA Adapters for Large Language Models

0 rewiews
Dive into parameter efficient fine-tuning with LoRA adapters, exploring matrix factorization, SVD, and advanced configurations for optimizing large language models.
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1 Lesons
47 minutes
On-Demand
Free-Video
UofU Data Science

Principal Component Analysis and Singular Value Decomposition - Spring 2023

0 rewiews
Master dimensionality reduction techniques through PCA and SVD, exploring multicollinearity, vector basis, and practical applications with hands-on demonstrations for effective data analysis.
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16 Lesons
1 hour 23 minutes
On-Demand
Free-Video
Discover AI

Parameter-Efficient Fine-Tuning with LoRA - Optimizing LLMs for Local GPU Training

0 rewiews
Master PEFT LoRA techniques to efficiently fine-tune large language models on local GPUs through low-rank adaptation, reducing memory requirements while maintaining model performance.
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17 Lesons
41 minutes
On-Demand
Free-Video
StatQuest with Josh Starmer

Principal Component Analysis - PCA, Step-by-Step

0 rewiews
Step-by-step guide to Principal Component Analysis (PCA), explaining its importance in data analysis and machine learning. Covers 2D and 3D data examples, PC calculation, and interpretation of results.
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11 Lesons
22 minutes
On-Demand
Free-Video
Data Science Dojo

Master AI Efficiency with LoRA - Optimize Fine-Tuning for Large Language Models

0 rewiews
Optimize AI fine-tuning with LoRA: Learn selective parameter updates, preserve model integrity, and adapt models efficiently across tasks. Gain practical insights for streamlined, resource-efficient AI projects.
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9 Lesons
58 minutes
On-Demand
Free-Video
Discover AI

Spectral Analysis of LoRA vs Full Fine-Tuning in Language Models

0 rewiews
Delve into the technical comparison between LoRA and full fine-tuning methods for language models, exploring their structural differences, spectral properties, and impact on model performance.
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10 Lesons
28 minutes
On-Demand
Free-Video
UofU Data Science

Random Projection in Data Mining - Spring 2023

0 rewiews
Explore random projection techniques in data mining, from PCA and SVD fundamentals to Johnson-Lindenstrauss lemma, with practical algorithms and theoretical foundations.
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10 Lesons
38 minutes
On-Demand
Free-Video
Data Science Conference

Building Decision-Making Assistants: Introduction to Recommendation Systems

0 rewiews
Explore recommendation systems from basic classification to advanced Netflix-style matrix factorization, covering content filtering, collaboration models, SVD, and PCA techniques.
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1 Lesons
32 minutes
On-Demand
Free-Video
UofU Data Science

Singular Value Decomposition and Rank-K Approximation - Lecture 19

0 rewiews
Dive into Singular Value Decomposition (SVD) concepts, exploring vector path tracing and rank-k approximation techniques for advanced matrix analysis and dimensionality reduction.
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1 Lesons
1 hour 24 minutes
On-Demand
Free-Video
UofU Data Science

Dimensionality Reduction: Rank-k Approximation and Eigen-decomposition - Lecture 20

0 rewiews
Dive into advanced dimensionality reduction techniques, exploring rank-k approximation, eigen-decomposition, and power method applications in data analysis.
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1 Lesons
1 hour 21 minutes
On-Demand
Free-Video
UofU Data Science

Data Mining: Frequent Directions and Random Projections - Spring 2023

0 rewiews
Explore dimensionality reduction techniques through random projections, frequent directions, and SVD, with practical applications including the Linformer architecture for data mining.
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12 Lesons
1 hour 19 minutes
On-Demand
Free-Video
Galileo Galilei Institute

Spectral Learning

0 rewiews
Explore spectral learning techniques and their applications in machine learning and data analysis with Lorenzo Chicchi's comprehensive lecture.
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1 Lesons
1 hour 10 minutes
On-Demand
Free-Video