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#Dimension Reduction

Showing: 16 courses
Great Learning

Linear Discriminant Analysis - Discriminant Analysis Tutorial - Machine Learning Tutorial

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Explore Linear Discriminant Analysis for dimension reduction and pattern classification in machine learning. Learn its applications, core mathematics, and practical implementation through exercises and examples.
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6 Lesons
1 hour 30 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
Applied Algebraic Topology Network

Hengrui Luo - Generalized Penalty for Circular Coordinate Representation

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Explore dimension reduction using circular coordinates and generalized penalties in topological data analysis. Enhance visualization of high-dimensional datasets while preserving topological structures.
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8 Lesons
21 minutes
On-Demand
Free-Video
Applied Algebraic Topology Network

John Harer - Topological Data Analysis and Machine Learning

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Explore topological data analysis and machine learning, covering methodology, examples, dimension reduction, and advanced techniques for feature extraction and classification.
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17 Lesons
1 hour
On-Demand
Free-Video
Chemometrics & Machine Learning in Copenhagen

Dual-SPLS - A Versatile Approach Improving PLS with Lasso Shrinkage

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Explore dual-sPLS, an innovative algorithm combining PLS and Lasso for improved variable selection and dimension reduction in high-dimensional analytical chemistry problems, offering enhanced accuracy and interpretability.
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1 Lesons
42 minutes
On-Demand
Free-Video
Applied Algebraic Topology Network

Topological Data Analysis in Economic Context - Property Tax Maps

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Exploring property tax patterns using topological data analysis to classify housing structures and regional demographics, offering new insights into community organization and economic indicators.
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1 Lesons
51 minutes
On-Demand
Free-Video
Chemometrics & Machine Learning in Copenhagen

Partial Least Squares for Nonlinear Regression

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Explore dimension reduction in PLS regression for nonlinear relationships, challenging traditional views and proposing new insights into PLS-like methods for predictive modeling.
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12 Lesons
32 minutes
On-Demand
Free-Video
IEEE

Small Covers for Near-zero Sets of Polynomials and Learning Latent Variable Models

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Explore techniques for parameter estimation in Gaussian mixture models and mixtures of linear regressions, focusing on dimension reduction and higher moments to overcome obstacles in learning latent variable models.
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15 Lesons
25 minutes
On-Demand
Free-Video
NPTEL-NOC IITM

Hands-on with R: Regression Modeling and Feature Selection - Part 5

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Fit regression models to temperature data, apply stepwise variable selection, and choose the best model using out-sample RMSE. Enhance skills in feature engineering and dimension reduction.
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1 Lesons
18 minutes
On-Demand
Free-Video
BIMSA

Rectifiable-Reifenberg and the Regularity of Stationary and Minimizing Harmonic Maps

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Explore sharp rectifiability results for singular sets of minimizing harmonic maps, with uniform Minkowski bounds and integrability. Analyze quantitative stratification and dimension-reduction techniques.
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1 Lesons
49 minutes
On-Demand
Free-Video
Simons Institute

K-Means and K-Medians Under Dimension Reduction

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Explore k-means and k-medians clustering algorithms under dimension reduction, examining distortion graphs, cost analysis, and combinatorial lemmas for robust high-dimensional statistics.
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17 Lesons
42 minutes
On-Demand
Free-Video
Open Data Science

Unsupervised Feature Learning with Matrix Decomposition - Aedin Culhane, PhD | ODSC East 2018

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Explore unsupervised learning techniques for high-dimensional data analysis, focusing on matrix factorization methods and their applications in oncology and precision medicine.
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17 Lesons
53 minutes
On-Demand
Free-Video
Applied Algebraic Topology Network

Dimension Reduction - An Overview

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Comprehensive overview of dimension reduction techniques, from linear methods like PCA to nonlinear approaches such as LLE, Isomap, t-SNE, and UMAP, with practical application to chemical reaction data.
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1 Lesons
57 minutes
On-Demand
Free-Video
TheIACR

Tutorial on Homomorphic Encryption

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Explore advanced homomorphic encryption concepts, including LWE, BV'11b construction, dimension reduction, and leveled FHE, building on fundamental knowledge from part 1.
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17 Lesons
58 minutes
On-Demand
Free-Video
Erwin Schrödinger International Institute for Mathematics and Physics (ESI)

Non-interpenetration in Thin-film Models of Elastic Solids

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Explore non-interpenetration in thin-film models for elastic solids, focusing on dimension reduction, membrane regimes, and suitable conditions for preventing material penetration.
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1 Lesons
37 minutes
On-Demand
Free-Video
Inside Livermore Lab

Leveraging Latent Representations for Predictive Physics-Based Modeling

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Explore advanced techniques for leveraging latent representations in predictive physics-based modeling, focusing on surrogate models, inverse problems, and transfer learning for complex PDEs.
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1 Lesons
56 minutes
On-Demand
Free-Video