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#Gaussian Distribution

Showing: 23 courses

Probability and Random Processes

3 rewiews
Explore random variables, probability distributions, and stochastic processes through intuitive explanations and practical applications in parameter estimation and noisy measurements.
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21 Lesons
3 hours 30 minutes
On-Demand
Free-Video
NPTEL

Statistical Mechanics

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Comprehensive exploration of probability, statistical ensembles, and quantum mechanics, covering discrete and continuous distributions, entropy, and applications to physical systems.
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35 Lesons
1 day 6 hours
On-Demand
Free-Video
Santa Fe Institute

Nonadditive Entropies and Statistical Mechanics at the Edge of Chaos - Cornerstones

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Explore nonadditive entropies and statistical mechanics at chaos' edge. Delve into Boltzmann-Gibbs entropy, Q-logarithm, and complex networks, challenging traditional thermodynamic principles.
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26 Lesons
1 hour 15 minutes
On-Demand
Free-Video
The Julia Programming Language

Random Variables as Types - Lecture 11

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Explore random variables as types in Julia programming, covering Gaussian distributions, sampling, abstract types, and generic programming for probability distributions.
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18 Lesons
51 minutes
On-Demand
Free-Video
Fields Institute

Private Learning of Gaussians and Their Mixtures

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Explore private learning techniques for Gaussian distributions and mixtures, focusing on robust methods, hypothesis selection, and high-dimensional cases.
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14 Lesons
30 minutes
On-Demand
Free-Video
Institut des Hautes Etudes Scientifiques (IHES)

Covariance and Subspace Inference: Handling Robustness, Variability and Heterogeneity

0 rewiews
Explore covariance matrix inference and PCA for non-regular data, covering mixed effects models, Gaussian assumptions, outlier handling, and applications in radio-interferometry calibration and imaging.
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1 Lesons
38 minutes
On-Demand
Free-Video
Hausdorff Center for Mathematics

Log-Sobolev Inequalities for Matrix-Valued Functions

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Explore advanced mathematical concepts of Log-Sobolev inequalities for matrix-valued functions, focusing on L1 variants and their applications in quantum systems and random matrices.
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1 Lesons
58 minutes
On-Demand
Free-Video
Richard McElreath

Statistical Rethinking 2023 - Geocentric Models

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Explore geocentric models in statistical thinking, covering Gaussian distributions, workflows, generative models, and analysis techniques for improved statistical reasoning.
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10 Lesons
1 hour 14 minutes
On-Demand
Free-Video
Weights & Biases

Math for Machine Learning - Exercises: Probability

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Hands-on exercises exploring probability concepts in machine learning, including entropy, cross-entropy, and Gaussian distributions, with practical applications and insights.
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16 Lesons
44 minutes
On-Demand
Free-Video
Weights & Biases

Probability - Math for Machine Learning

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Explore core probability concepts for machine learning, including surprises, loss functions, and Gaussians. Gain insights into the mathematical foundations of ML algorithms.
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10 Lesons
45 minutes
On-Demand
Free-Video
Gautam Varde

Normal Distribution - Probability and Statistics Problems

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Explore normal distribution concepts and solve probability problems with practical examples for undergraduate students across various disciplines.
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1 Lesons
13 minutes
On-Demand
Free-Video
USC Probability and Statistics Seminar

Sample Amplification: Increasing Dataset Size Even When Learning is Impossible

0 rewiews
Explore sample amplification techniques to generate larger datasets from limited samples, even when learning the original distribution is impossible.
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1 Lesons
59 minutes
On-Demand
Free-Video
Valence Labs

Linear Causal Representations from Interventions under General Nonlinear Mixing

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Explore causal representation learning from latent interventions in nonlinear settings. Uncover geometric structures, analyze precision matrices, and evaluate a contrastive algorithm for identifying latent variables.
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10 Lesons
54 minutes
On-Demand
Free-Video
Centre de recherches mathématiques - CRM

Adaptive Bayesian Predictive Inference

0 rewiews
Explore adaptive Bayesian predictive inference for high-dimensional sparse mean estimation, examining sparsity priors and their performance in predictive density estimation under Kullback-Leibler loss.
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1 Lesons
50 minutes
On-Demand
Free-Video
Shaw Talebi

Pareto, Power Laws, and Fat Tails: A Beginner's Guide to Non-Gaussian Statistics

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Explore power laws, fat tails, and their impact on statistical analysis. Learn why traditional methods fall short and gain insights into analyzing extreme events in various domains.
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13 Lesons
27 minutes
On-Demand
Free-Video
Discover AI

Diffusion Transformer and Rectified Flow in Stable Diffusion 3

0 rewiews
Dive into the mechanics of Diffusion Transformers, exploring noise distribution, latent space dimensionality, and the innovative Rectified Flow technology powering next-gen AI image generation.
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1 Lesons
33 minutes
On-Demand
Free-Video
UofU Data Science

Probabilistic Graphical Models and Maximum Likelihood Estimation - Lecture 13

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Dive into probabilistic graphical models, exploring likelihood estimation, Gaussian models, and network structures while learning to analyze real-world data using conditional independence concepts.
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13 Lesons
1 hour 21 minutes
On-Demand
Free-Video
BSS Physics School

Driven Quantum Dynamics III - Lecture 3

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Explore quantum dynamics, focusing on localization, Fourier expansion, and chaos. Gain insights into stable localization, delocalization, and Anderson localization.
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17 Lesons
1 hour 31 minutes
On-Demand
Free-Video
UofU Data Science

Mixture of Gaussians and Mean Shift Clustering - Lecture 24

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Dive into advanced clustering techniques, exploring Gaussian mixtures, EM algorithms, and Mean Shift methods for sophisticated data analysis and pattern recognition.
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1 Lesons
1 hour 21 minutes
On-Demand
Free-Video
UofU Data Science

Exponential Family and Information Theory in Probability Distributions - Lecture 8

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Dive into advanced statistical concepts including exponential families, multivariable Gaussian distributions, and information theory fundamentals for data science applications.
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8 Lesons
1 hour 22 minutes
On-Demand
Free-Video
Centre for Networked Intelligence, IISc

Flipped Huber - A New Additive Noise Mechanism for Differential Privacy

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Discover a novel additive noise mechanism for differential privacy that combines Laplace and Gaussian distributions, offering enhanced privacy protection while maintaining data accuracy in query responses.
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1 Lesons
1 hour 3 minutes
On-Demand
Free-Video
Hausdorff Center for Mathematics

On Gilles Pisier's Approach to Gaussian Concentration, Isoperimetry, and Poincare-Type Inequalities

0 rewiews
Explore advanced mathematical concepts in measure concentration, isoperimetry, and Poincaré-type inequalities through Pisier's approach and its extensions to rotationally invariant distributions.
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1 Lesons
54 minutes
On-Demand
Free-Video
Hausdorff Center for Mathematics

Spectral Gaps for Measures on the Cube via Generalized Stochastic Localization Process

0 rewiews
Explore advanced stochastic localization processes and their applications in high-dimensional probability, focusing on non-Gaussian frameworks and spectral gaps of discrete measures.
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1 Lesons
59 minutes
On-Demand
Free-Video