Mutual Information Courses and Certifications

Introduction to Information Theory

12 reviews

This tutorial introduces fundamental concepts in information theory.

• Complexity Explorer
• 1 hour
• On-Demand
• Free Online Course

Region Mutual Information Loss for Semantic Segmentation

1 review

Explore advanced techniques in semantic segmentation, including region mutual information loss, à trous convolutions, and multi-scale features for improved image analysis and understanding.

• YouTube
• 21 minutes
• On-Demand
• Free Video

Alan Turing Institute

Sequential Design Based on Mutual Information for Computer Experiments - Joakim Beck, KAUST

Explore uncertainty quantification using Gaussian Process emulators for complex systems. Learn about sequential design methods, mutual information criteria, and applications in climate, tsunami, and earthquake modeling.

• YouTube
• 20 minutes
• On-Demand
• Free Video

Association for Computing Machinery (ACM)

Mutual Information-based Preference Disentangling and Transferring for Cross-Domain Recommendations

Explore mutual information-based techniques for disentangling and transferring user preferences across multiple non-overlapping domains in recommendation systems.

• YouTube
• 13 minutes
• On-Demand
• Free Video

Simons Institute

Maximizing Mutual Information in Flash Memories

Explores optimizing Flash memory performance through mutual information maximization, focusing on LDPC codes and device longevity in the context of multi-bit cell storage and read operations.

• YouTube
• 41 minutes
• On-Demand
• Free Video

International Centre for Theoretical Sciences

Free Mutual Information and Higher-Point OTOCs

Explore free mutual information and higher-point out-of-time-ordered correlators in quantum systems through advanced theoretical physics concepts.

• YouTube
• 53 minutes
• On-Demand
• Free Video

Dimensionality Reduction with Feature Selection

Master advanced feature selection techniques to optimize machine learning models through variance analysis, univariate selection, mutual information, and recursive elimination methods.

• CodeSignal
• 4 hours
• On-Demand
• Free Certificate

Dimensionality Reduction with Feature Selection

Master specialized feature selection techniques to optimize machine learning models by removing low-variance features, applying correlation analysis, and using advanced methods like RFE.

• CodeSignal
• 4 hours
• On-Demand
• Free Certificate

Information Theory of Deep Learning - Naftali Tishby

Explores the connection between deep learning and information theory, offering new insights into neural network design, generalization, and optimization through an information bottleneck framework.

• YouTube
• 1 hour 25 minutes
• On-Demand
• Free Video

TheIACR

Distributions Attaining Secret Key at a Rate of the Conditional Mutual Information

Explore key concepts in cryptography, including common information, conditional distributions, and uniform block independence, to understand secret key rates and distributions.

• YouTube
• 27 minutes
• On-Demand
• Conference Talk

Kavli Institute for Theoretical Physics

Negativity and Mutual Information After a Quench - Exact Link From Space-Time Duality

Explores the connection between negativity and mutual information in quantum systems after a quench, using space-time duality to derive exact results in integrable models.

• YouTube
• 36 minutes
• On-Demand
• Free Video

Kavli Institute for Theoretical Physics

Spacetime Mutual Information - Xiaoliang Qi (Stanford)

Explore spacetime mutual information with Stanford's Xiaoliang Qi in this advanced physics talk. Delve into integrable models, quantum systems, and theoretical physics concepts at the forefront of research.

• YouTube
• 48 minutes
• On-Demand
• Free Video

Association for Computing Machinery (ACM)

Differential Privacy as a Mutual Information Constraint

Explore differential privacy through mutual information constraints, presented by Princeton researchers at ACM's Computer and Communications Security conference.

• YouTube
• 26 minutes
• On-Demand
• Conference Talk

Association for Computing Machinery (ACM)

Sequential Recommendation with Collaborative Explanation via Mutual Information Maximization - Lecture 1

Explore sequential recommendation with collaborative explanation, maximizing mutual information for enhanced explainability in search and recommendation systems.

• YouTube
• 19 minutes
• On-Demand
• Free Video

Instituto de Física Interdisciplinar y Sistemas Complejos (IFISC)

Asymmetries in Mutual Intelligibility: An Information-Theoretic Approach

Explore information theory principles applied to language asymmetries and mutual intelligibility patterns through advanced mathematical modeling and empirical analysis.

• YouTube
• 34 minutes
• On-Demand
• Free Video