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Academic Lesson

SPSS Tutorial for Data Analysis - SPSS for Beginners

4 rewiews
Comprehensive SPSS tutorial covering various statistical analyses, from basic tests to advanced regression techniques. Ideal for beginners seeking practical data analysis skills using IBM SPSS Statistics.
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20 Lesons
2 hours 31 minutes
On-Demand
Free-Video

Machine Learning

1 rewiews
Comprehensive introduction to machine learning concepts, from fundamentals to advanced techniques, with clear explanations and practical applications.
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83 Lesons
22 hours
On-Demand
Free-Video
Stanford University

Deep Generative Models - Lecture 5: Variational Autoencoders

0 rewiews
Explore Variational Autoencoders (VAEs) in deep generative modeling, covering theoretical foundations and practical applications in this comprehensive Stanford lecture.
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1 Lesons
1 hour 21 minutes
On-Demand
Free-Video
Stanford University

Deep Generative Models - Lecture 6: Variational Autoencoders

0 rewiews
Explore Variational Autoencoders (VAEs) in deep generative modeling, covering theoretical foundations and practical applications in this Stanford lecture by Prof. Stefano Ermon.
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1 Lesons
1 hour 22 minutes
On-Demand
Free-Video
Santa Fe Institute

Blessings of Dimensionality for Gaussian Latent Factor Models

0 rewiews
Explore how high-dimensional data analysis can benefit from restricted latent factor overlaps, with applications in brain fMRI and financial markets.
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32 Lesons
1 hour 6 minutes
On-Demand
Free-Video
Broad Institute

MPG Primer: Understanding Single Cell ATAC-Seq Data Analysis (2024)

0 rewiews
Explore single-cell ATAC-seq data analysis, covering key concepts, workflow, quality control, and downstream analysis techniques for epigenomic profiling at cellular resolution.
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23 Lesons
45 minutes
On-Demand
Free-Video
Instituto de Física Interdisciplinar y Sistemas Complejos (IFISC)

Temporal Network Embedding Using Classical Multidimensional Scaling

0 rewiews
Explore temporal network embedding techniques using classical multidimensional scaling for advanced data analysis and visualization.
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1 Lesons
30 minutes
On-Demand
Free-Video
statisticsmatt

Multivariate

0 rewiews
Explore advanced multivariate statistical concepts, including hypothesis testing, probability distributions, and data analysis techniques, with practical applications using R programming.
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29 Lesons
6 hours
On-Demand
Free-Video
Augmented Startups

The Fun and Easy Guide to Machine Learning - Tutorials

0 rewiews
Comprehensive introduction to machine learning algorithms, from regression to neural networks, with practical Python implementations and engaging whiteboard explanations for beginners and enthusiasts.
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12 Lesons
1 hour 30 minutes
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
CIMPA UCR

Multidimensional Scaling by Particle Swarm Optimization

0 rewiews
Explora el escalamiento multidimensional mediante optimización por enjambre de partículas con el experto Javier Trejos.
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1 Lesons
1 hour 27 minutes
On-Demand
Free-Video
Simons Institute

Sign-Rank vs Margin

0 rewiews
Exploring the relationship between sign-rank and margin in boolean matrices, with applications in communication complexity and machine learning. Discusses key questions and provides negative answers using various mathematical tools.
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1 Lesons
58 minutes
On-Demand
Free-Video
Serrano.Academy

Principal Component Analysis

0 rewiews
Explore dimensionality reduction through PCA, covering variance, covariance, eigenvectors, and eigenvalues. Learn key concepts with visual explanations and practical applications in data analysis.
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13 Lesons
27 minutes
On-Demand
Free-Video
Simons Institute

Sketching for Linear Algebra - Basics of Dimensionality Reduction and CountSketch I

0 rewiews
Explore dimensionality reduction and CountSketch techniques for efficient linear algebra computations, focusing on regression analysis and subspace embeddings.
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12 Lesons
59 minutes
On-Demand
Free-Video
Applied Algebraic Topology Network

A Topological Study of the Space of Planar Pentagons

0 rewiews
Exploring topology of planar pentagons as a model for molecular conformation spaces, using topological data analysis for dimensionality reduction and visualization.
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1 Lesons
35 minutes
On-Demand
Free-Video
Applied Algebraic Topology Network

Practical Clustering and Topological Data Analysis

0 rewiews
Explore clustering algorithms and topological data analysis from a data science perspective, covering techniques from k-means to DBSCAN and dimensionality reduction methods like UMAP.
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1 Lesons
1 hour 3 minutes
On-Demand
Free-Video
Simons Institute

Sketching for Linear Algebra - Basics of Dimensionality Reduction and CountSketch II

0 rewiews
Explore dimensionality reduction and CountSketch techniques in linear algebra, focusing on advanced applications and theoretical foundations for data science.
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1 Lesons
1 hour 10 minutes
On-Demand
Free-Video
USC Information Sciences Institute

Visualizing and Analyzing Event Sequence Data

0 rewiews
Explore techniques for analyzing event sequence data, including causal inference, deep learning, and generative AI, to extract valuable insights from high-dimensional business process data.
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1 Lesons
58 minutes
On-Demand
Free-Video
Institute for Mathematical Sciences

Functional Data Analysis in Practice

0 rewiews
Explore practical applications of functional data analysis with insights from Qiwei Yao of the London School of Economics, covering key concepts and methodologies.
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1 Lesons
47 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
TensorFlow

A Friendly Introduction to Linear Algebra for ML

0 rewiews
Explore key linear algebra concepts for machine learning, including data representations, vector embeddings, and dimensionality reduction, with insights from a postdoc at X.
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5 Lesons
38 minutes
On-Demand
Free-Video
Applied Algebraic Topology Network

Vidit Nanda - Principal Components Along Quiver Representations

0 rewiews
Principal components analysis for quiver representations: dimensionality reduction, comparison, and optimization techniques for vector-space valued representations across pure and applied mathematics.
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14 Lesons
41 minutes
On-Demand
Free-Video
Applied Algebraic Topology Network

Vector Bundles for Data Alignment and Dimensionality Reduction

0 rewiews
Explore vector bundles in data science, focusing on synchronization problems and topology-preserving dimensionality reduction. Applications in computational chemistry and dynamical systems are presented.
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8 Lesons
54 minutes
On-Demand
Free-Video
Applied Algebraic Topology Network

Data Driven Torsion Coordinates and Wasserstein Stability

0 rewiews
Explore data-driven torsion coordinates in finite Lens spaces, LPCA dimensionality reduction, and Wasserstein stability for topological data analysis and nonlinear dimensionality reduction.
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1 Lesons
27 minutes
On-Demand
Free-Video
Applied Algebraic Topology Network

Approximate and Discrete Vector Bundles

0 rewiews
Explore synchronization problems and dimensionality reduction through vector bundles. Learn how characteristic classes provide insights into global synchronization and data analysis challenges.
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1 Lesons
1 hour
On-Demand
Free-Video
IEEE

Robust and Sample Optimal Algorithms for PSD Low-Rank Approximation

0 rewiews
Explore efficient algorithms for positive semidefinite low-rank approximation, focusing on robustness and sample optimality in matrix computations.
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1 Lesons
28 minutes
On-Demand
Free-Video
International Centre for Theoretical Sciences

Tools of High Dimensional Data - Lecture 3

0 rewiews
Explore high-dimensional data analysis techniques with Bruce Walsh, focusing on advanced tools and methods for complex datasets in biological evolution and genetics.
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1 Lesons
1 hour 42 minutes
On-Demand
Free-Video
Simons Institute

Sketching and Randomized Linear Algebra

0 rewiews
Explore advanced techniques in randomized linear algebra, focusing on sketching methods for efficient data analysis and algorithm design in high-dimensional spaces.
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1 Lesons
1 hour 4 minutes
On-Demand
Free-Video
Conference GSI

Towards Quotient Barycentric Subspaces

0 rewiews
Explore advanced mathematical concepts of quotient barycentric subspaces, delving into their properties and applications in geometric data analysis.
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1 Lesons
22 minutes
On-Demand
Free-Video
Centre International de Rencontres Mathématiques

The Linear Algebra of Large Language Models

0 rewiews
Explorez les fondements mathématiques des modèles de langage à grande échelle et leur lien avec l'algèbre linéaire avancée.
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1 Lesons
30 minutes
On-Demand
Free-Video
Simons Institute

Randomized Least Squares Optimization and its Incredible Utility for Large-Scale Tensor Decomposition

0 rewiews
Explore randomized least squares optimization techniques for large-scale tensor decomposition, focusing on sublinear algorithms and their applications in data analysis.
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1 Lesons
33 minutes
On-Demand
Free-Video
Simons Institute

Sketching Techniques for Data Structures and Optimization - Part 2

0 rewiews
Explore advanced sketching techniques for data structures and optimization in fast algorithms, focusing on practical applications and theoretical foundations.
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1 Lesons
1 hour 6 minutes
On-Demand
Free-Video
Simons Institute

Sketching Techniques for Data Structures and Optimization - Part 1

0 rewiews
Explore data structure optimization techniques for fast algorithms, focusing on sketching methods to enhance computational efficiency and performance.
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1 Lesons
1 hour 1 minute
On-Demand
Free-Video
Simons Institute

Cortical Areas Interact through a Communication Subspace

0 rewiews
Explore how cortical areas communicate through subspaces, examining neural population dynamics and inter-area interactions in visual processing using advanced data analysis techniques.
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17 Lesons
1 hour 13 minutes
On-Demand
Free-Video
Institut Henri Poincaré

Projection Methods for Neurobiological Networks

0 rewiews
Explore projection techniques for analyzing complex neurobiological networks, focusing on applications in neuroscience research and computational modeling.
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1 Lesons
45 minutes
On-Demand
Free-Video
Computational Genomics Summer Institute CGSI

Matrix Factorization and Applications to Bulk and Single Cell Omic Datasets

0 rewiews
Explore matrix factorization techniques for analyzing bulk and single-cell omic datasets, with applications in computational genomics and bioinformatics.
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1 Lesons
46 minutes
On-Demand
Free-Video
Discover AI

Data Science with GPT-4 Code Interpreter: From Problem to Visualization - A Complete Project Demo

0 rewiews
Explore how GPT-4's Code Interpreter automates data science workflows, from cleaning 5000+ EU project descriptions to implementing clustering algorithms and 3D visualizations.
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1 Lesons
21 minutes
On-Demand
Free-Video
Discover AI

Dimensional Reduction Using PaCMAP: From High-Dimensional Data to Vector Spaces - MNIST Case Study

0 rewiews
Explore dimensional reduction using PaCMAP algorithm, from basic implementation to advanced applications with MNIST datasets, featuring hands-on Python coding in Colab notebooks.
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5 Lesons
14 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
UofU Data Science

Vector Semantics and Word Embeddings in Data Science

0 rewiews
Dive into the mathematical foundations of vector semantics and word embeddings, exploring how words are represented as numerical vectors for natural language processing applications.
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1 Lesons
1 hour 20 minutes
On-Demand
Free-Video
StatQuest with Josh Starmer

Principal Component Analysis - PCA Clearly Explained - 2015

0 rewiews
Clear explanation of Principal Component Analysis, covering dimensions, variance, loading scores, and key concepts for interpreting PCA plots in RNA-seq data analysis.
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8 Lesons
20 minutes
On-Demand
Free-Video
Julia Silge

Principal Component Analysis for Hip Hop Songs With Tidymodels

0 rewiews
Implement PCA using recipes to analyze the best hip hop songs of all time, exploring Spotify data and visualizing results with tidymodels.
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14 Lesons
1 hour
On-Demand
Free-Video
MITCBMM

Dimensionality Reduction for Matrix- and Tensor-Coded Data

0 rewiews
Explore matrix and tensor factorizations for data compression, including PCA, NMF, and CP tensor decomposition. Learn theoretical foundations and practical applications in scientific domains.
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20 Lesons
54 minutes
On-Demand
Free-Video
MITCBMM

Dimensionality Reduction for Matrix- and Tensor-Coded Data

0 rewiews
Explore advanced dimensionality reduction techniques for matrix and tensor data, focusing on CP tensor decomposition. Learn theoretical foundations and practical applications in neuroscience.
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10 Lesons
46 minutes
On-Demand
Free-Video
MITCBMM

Dimensionality Reduction II

0 rewiews
Explore advanced dimensionality reduction techniques, including PCA and negentropy, with practical applications in brain and cognitive sciences. Includes exercises and research discussions.
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10 Lesons
30 minutes
On-Demand
Free-Video
Alan Turing Institute

Approximate Cross Validation for Large Data and High Dimensions - Tamara Broderick, MIT

0 rewiews
Explore efficient cross-validation techniques for large datasets using linear approximation and dimensionality reduction. Learn about error bounds, high-dimensional challenges, and practical applications in machine learning.
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9 Lesons
35 minutes
On-Demand
Free-Video
Alan Turing Institute

Big Data Is Low Rank - Madeleine Udell, Cornell University

0 rewiews
Explore big data's low-rank structure, generalized low-rank models, and their applications in machine learning. Learn about dimensionality reduction, autoML, and latent variable models for efficient data analysis.
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17 Lesons
46 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Sampling-Based Sublinear Low-Rank Matrix Arithmetic Framework for Dequantizing Quantum Machine Learning

0 rewiews
Explore quantum-inspired classical algorithms for machine learning, focusing on sublinear low-rank matrix arithmetic and singular value transformation techniques.
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9 Lesons
21 minutes
On-Demand
Free-Video
Shashank Kalanithi

Hands on Machine Learning - Unsupervised Learning

0 rewiews
Explore unsupervised learning techniques including clustering, dimensionality reduction, and Gaussian mixture models. Hands-on implementation using Python libraries for data analysis and visualization.
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15 Lesons
58 minutes
On-Demand
Free-Video
Simons Institute

Quantum Machine Learning- Prospects and Challenges

0 rewiews
Explore prospects and challenges in quantum machine learning, covering classification techniques, dimensionality reduction, data loading, and benchmarking for both optimistic and cautious perspectives.
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11 Lesons
39 minutes
On-Demand
Free-Video
Applied Algebraic Topology Network

Dimensionality Reduction via Distributed Persistence - DIPOLE

0 rewiews
Explore dimensionality reduction with DIPOLE, a novel approach combining local metric and global topological preservation for improved data visualization and analysis.
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13 Lesons
59 minutes
On-Demand
Free-Video
International Centre for Theoretical Sciences

Introduction to Machine Learning - Lecture 2

0 rewiews
Explore key machine learning concepts and their applications in healthcare, bridging the gap between computational modeling and clinical problem-solving.
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1 Lesons
1 hour 18 minutes
On-Demand
Free-Video
International Centre for Theoretical Sciences

Unsupervised ML - Clustering, Dimensionality Reduction, Applications by Rahul Siddharthan

0 rewiews
Explore unsupervised machine learning techniques for clustering and dimensionality reduction, with practical applications in data analysis and pattern discovery.
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1 Lesons
43 minutes
On-Demand
Free-Video
James Briggs

OpenAI's New Embedding Models: Performance and Usage - Text-Embedding-3-Small and Text-Embedding-3-Large

0 rewiews
Explore OpenAI's new embedding models, their performance gains, dimensionality options, and practical applications in semantic search and AI development.
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5 Lesons
17 minutes
On-Demand
Free-Video
Simons Institute

Coresets and Their Applications to Design Sublinear Algorithms

0 rewiews
Explore coresets and their role in designing efficient sublinear algorithms, enhancing computational performance for large-scale data analysis and machine learning tasks.
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1 Lesons
52 minutes
On-Demand
Free-Video
Yacine Mahdid

Img2Vec and UMAP for High-Dimensional Data Visualization

0 rewiews
Learn to visualize high-dimensional image data using Img2Vec for embeddings, UMAP for dimensionality reduction, and Bokeh for interactive exploration. Ideal for vision classification projects.
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10 Lesons
50 minutes
On-Demand
Free-Video
Valence Labs

Identifiable Deep Generative Models via Sparse Decoding

0 rewiews
Explore sparse VAE for unsupervised learning, uncovering identifiable latent factors in high-dimensional data. Discover theoretical guarantees and practical applications in various domains.
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8 Lesons
1 hour 3 minutes
On-Demand
Free-Video
Simons Institute

Applications of Sub-linear Algorithms in Other Fields

0 rewiews
Explore how sub-linear algorithms impact diverse fields, enhancing efficiency and scalability in data analysis and problem-solving across disciplines.
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1 Lesons
31 minutes
On-Demand
Free-Video
IEEE

Point Location and Active Learning - Learning Halfspaces Almost Optimally

0 rewiews
Explore advanced techniques in machine learning, focusing on point location, active learning, and halfspaces. Gain insights into cutting-edge algorithms and strategies for optimal learning outcomes.
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22 Lesons
25 minutes
On-Demand
Free-Video
USENIX

CloudCluster - Unearthing the Functional Structure of a Cloud Service

0 rewiews
Unearths cloud service functional structure using VM-to-VM traffic matrix clustering. Aids management by revealing design patterns, enabling cost reduction, and identifying anomalies and misconfigurations.
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25 Lesons
15 minutes
On-Demand
Free-Video
Joint Mathematics Meetings

Metric Representations - Algorithms and Geometry

0 rewiews
Explore metric representations, algorithms, and geometry in this lecture covering multidimensional scaling, metric repair, optimization techniques, and dimensionality reduction.
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18 Lesons
56 minutes
On-Demand
Free-Video
GOTO Conferences

Visualizing Cloud Systems

0 rewiews
Explore effective visualization techniques for cloud-native systems, focusing on microservices and serverless patterns. Learn to design and implement solutions using visual grammars and dimensionality reduction.
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12 Lesons
27 minutes
On-Demand
Free-Video
code::dive conference

Machine Learning for a Rescue

0 rewiews
Explore machine learning applications in software development, focusing on data-driven approaches to classify developers and predict project outcomes.
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24 Lesons
53 minutes
On-Demand
Free-Video
PyCon US

Effective Data Visualization

0 rewiews
Learn advanced data visualization techniques using Python libraries to effectively communicate complex data across various fields, from choosing plots to aesthetic decisions.
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1 Lesons
1 hour 38 minutes
On-Demand
Free-Video
PyCon US

Effective Data Visualization

0 rewiews
Mastering data visualization: from choosing plots to preprocessing datasets. Learn to effectively communicate data using Python libraries like seaborn, matplotlib, and plotly. Covers density estimation, dimensionality reduction, and interactive plotting.
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19 Lesons
2 hours 23 minutes
On-Demand
Free-Video
EuroPython Conference

Speeding Up Search With Locality Sensitive Hashing

0 rewiews
Explore locality sensitive hashing for faster search and similarity comparisons, with practical Python implementations and real-world applications in image search and collaborative filtering.
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18 Lesons
24 minutes
On-Demand
Free-Video
Tech Field Day

Elasticsearch Vector Database and RAG Capabilities - A Technical Demonstration

0 rewiews
Dive into Elasticsearch's vector database capabilities, focusing on RAG implementation, memory optimization, multi-stage search approaches, and seamless integration with LLMs for enhanced data retrieval.
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1 Lesons
26 minutes
On-Demand
Free-Video
Instituto de Física Interdisciplinar y Sistemas Complejos (IFISC)

Compressed Representations in Deep Learning: From Algorithmic Information to Autoencoders and Neural Networks

0 rewiews
Dive into compressed representations and algorithmic information theory, exploring deep learning concepts and autoencoder applications in modern neural networks.
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1 Lesons
27 minutes
On-Demand
Free-Video
Wolfram

Tabular Data Visualization Techniques for n-Dimensional Data

0 rewiews
Explore techniques for visualizing n-dimensional data, including projection and pairwise methods, to effectively convey complex information in 2D or 3D plots.
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1 Lesons
25 minutes
On-Demand
Free-Video
Cambridge Materials

Multitask Machine Learning of Collective Variables for Enhanced Sampling of Rare Events

0 rewiews
Explore machine learning algorithms for collective variables in enhanced sampling, improving reaction rate calculations and free energy landscapes for complex systems.
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8 Lesons
18 minutes
On-Demand
Free-Video
Shaw Talebi

Dimensionality Reduction and Segmentation with Decision Trees - Python Code

0 rewiews
Explore advanced decision tree applications for dimensionality reduction and predictor segmentation, with Python code examples for breast cancer detection and sepsis risk analysis.
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6 Lesons
17 minutes
On-Demand
Free-Video
NPTEL-NOC IITM

Implementing Linear Discriminant Analysis (LDA) with Irish Data Sets in R

0 rewiews
Implement LDA using Irish datasets in R, gaining practical experience with Linear Discriminant Analysis techniques.
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1 Lesons
13 minutes
On-Demand
Free-Video
Serrano.Academy

Denoising and Variational Autoencoders

0 rewiews
Explore autoencoders, powerful generative models for dimensionality reduction and data generation. Learn about denoising and variational autoencoders, their applications, and training techniques.
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24 Lesons
32 minutes
On-Demand
Free-Video
Conf42

Vector Databases 101 - How Do They Work?

0 rewiews
Explore vector databases' functionality, applications, and architecture. Learn about similarity search, indexing techniques, and real-world use cases in machine learning and AI.
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13 Lesons
31 minutes
On-Demand
Free-Video
James Briggs

BERTopic Explained

0 rewiews
Explore BERTopic, an advanced topic modeling technique using transformers, UMAP, and HDBSCAN. Learn its components, implementation, and customization for organizing unstructured text data effectively.
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11 Lesons
45 minutes
On-Demand
Free-Video
James Briggs

Product Quantization for Vector Similarity Search - Python

0 rewiews
Learn to compress high-dimensional vectors using product quantization, reducing memory usage by 97% and improving search speeds by 92x. Includes Python implementation and visualization techniques.
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7 Lesons
30 minutes
On-Demand
Free-Video
SF Python

Embeddings - What They Are and Why They Matter

0 rewiews
Discover how embeddings work in machine learning, from basic concepts to practical applications in semantic search and content relationships, with hands-on examples and implementation techniques.
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1 Lesons
39 minutes
On-Demand
Free-Video
tinyML

Memory Optimization Techniques for On-Device Large Language Models

0 rewiews
Discover advanced memory optimization techniques for deploying large language models on devices with limited resources, focusing on key-value caching and dynamic compression methods.
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1 Lesons
31 minutes
On-Demand
Free-Video
UofU Data Science

Dimensionality Reduction: Data Matrices and Projection Methods - Lecture 18

0 rewiews
Explore dimensionality reduction techniques through matrix operations, focusing on dot product projections and orthogonal basis sets for effective data transformation.
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1 Lesons
51 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
OpenSource Connections

Where Vector Search is Taking Us

0 rewiews
Explore vector search options, components, and future prospects with industry expert Dmitry Kan in this keynote address from Haystack EU 2022.
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1 Lesons
48 minutes
On-Demand
Free-Video
Center for Language & Speech Processing(CLSP), JHU

Probabilistic Linear Discriminant Analysis of i-Vector Posterior Distributions

0 rewiews
Explore probabilistic linear discriminant analysis for i-vector posterior distributions in speaker recognition, enhancing understanding of advanced speech processing techniques.
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1 Lesons
37 minutes
On-Demand
Free-Video
Finnish Center for Artificial Intelligence FCAI

Explainable and Robust AI for VILMA Virtual Laboratory

0 rewiews
Explore explainable AI and uncertainty quantification in atmospheric research. Learn about SLISEMAP, a supervised manifold visualization method for local explanations and dimensionality reduction.
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18 Lesons
39 minutes
On-Demand
Free-Video
VinAI

Nonlinear Statistical Modeling for High-Dimensional and Small Sample Data

0 rewiews
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
IEEE Signal Processing Society

Low Distortion Embeddings With Bottom-up Manifold Learning

0 rewiews
Explore bottom-up manifold learning techniques for creating low distortion embeddings, enhancing data visualization and dimensionality reduction in signal processing applications.
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1 Lesons
57 minutes
On-Demand
Free-Video
ICTP Condensed Matter and Statistical Physics

Tensor Network for Machine Learning Applications - Lecture 3

0 rewiews
Explore advanced tensor network techniques for machine learning, focusing on applications and practical implementations in data analysis and modeling.
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1 Lesons
1 hour 33 minutes
On-Demand
Free-Video
ICTP Condensed Matter and Statistical Physics

Tensor Network for Machine Learning Applications - Part 2

0 rewiews
Explore advanced tensor network techniques for machine learning, focusing on applications and recent developments in the field.
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1 Lesons
1 hour 30 minutes
On-Demand
Free-Video
ICTP Condensed Matter and Statistical Physics

Tensor Network for Machine Learning Applications - Lecture 1

0 rewiews
Explore tensor networks' applications in machine learning, focusing on their potential to enhance computational efficiency and model complexity.
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1 Lesons
1 hour 29 minutes
On-Demand
Free-Video
VinAI

Supervised Quantile Normalization for Matrix Factorization Using Optimal Transport

0 rewiews
Explore advanced matrix factorization techniques using optimal transport for quantile normalization. Learn applications in dimensionality reduction and genomics from expert Marco Cuturi.
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1 Lesons
1 hour 20 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

Dimensionality Reduction: Principal Component Analysis and Multidimensional Scaling - Lecture 21

0 rewiews
Master dimensionality reduction techniques through Principal Component Analysis (PCA) and Multidimensional Scaling (MDS), exploring their applications in data analysis and visualization.
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1 Lesons
1 hour 20 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
UofU Data Science

Multidimensional Scaling and Linear Discriminant Analysis in Data Mining - Spring 2023

0 rewiews
Explore multidimensional scaling (MDS) and linear discriminant analysis (LDA), learning key concepts, motivations, and practical applications in data dimensionality reduction and classification.
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9 Lesons
1 hour 11 minutes
On-Demand
Free-Video
UofU Data Science

Matrix Completion and PageRank in Data Mining - Spring 2023

0 rewiews
Dive into matrix completion techniques and PageRank algorithms, exploring fundamental concepts for data mining and graph analysis applications.
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6 Lesons
1 hour 20 minutes
On-Demand
Free-Video
Inside Livermore Lab

Networks that Adapt to Intrinsic Dimensionality Beyond the Domain

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Explore neural networks' ability to adapt to intrinsic dimensionality, focusing on ReLU networks approximating functions with dimensionality-reducing feature maps. Gain insights into manifold learning and data analysis.
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21 Lesons
1 hour
On-Demand
Free-Video
Inside Livermore Lab

Probabilistic Methods for Data-Driven Reduced-Order Modeling

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Explore probabilistic methods for data-driven reduced-order modeling, including Gaussian process regression, deep kernel learning, and Bayesian reduced-order operator inference for efficient multi-query simulations and digital twinning.
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1 Lesons
1 hour 8 minutes
On-Demand
Free-Video
Inside Livermore Lab

Higher-Order Multi-Variate Statistics for Scientific Data Analysis

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Explore advanced multi-variate statistical techniques for scientific data analysis, focusing on higher-order methods like coskewness and cokurtosis for rare event detection and dimensionality reduction in complex systems.
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1 Lesons
1 hour 6 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
Center for Language & Speech Processing(CLSP), JHU

An Implementation of Sub-Space Model Based Automatic Speech Recognition - 2009

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Explore advanced speech recognition techniques using sub-space models in this in-depth implementation guide from Johns Hopkins University's CLSP.
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1 Lesons
1 hour 21 minutes
On-Demand
Free-Video