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Subjects
Computer Science
Information Theory

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Information Theory Courses and Certifications

Learn Information Theory, earn certificates with free online courses from Stanford, MIT, Johns Hopkins, Brown University and other top universities around the world. Read reviews to decide if a class is right for you.

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Simons Institute
Information Constrained Optimal Transport

Explore information-constrained optimal transport theory and its applications in trustworthy machine learning with Stanford researcher Ayfer Ozgur.
- YouTube
- 59 minutes
- On-Demand
- Free Video
Applied Algebraic Topology Network
Topology of Surprisal - Information Theory and Vietoris-Rips Filtrations

Explore the fusion of information theory and Vietoris-Rips filtrations, focusing on Kullback-Leibler divergence and its applications in deep learning, with insights on overcoming non-symmetry challenges.
- YouTube
- 59 minutes
- On-Demand
- Free Video
IEEE
Radio Network Coding Requires Logarithmic Overhead

Explore efficient communication in radio networks, focusing on coding techniques and logarithmic overhead requirements for optimal data transmission.
- YouTube
- 21 minutes
- On-Demand
- Free Video
IEEE
Combinatorial Group Testing and Sparse Recovery Schemes with Near-Optimal Decoding Time

Explore efficient algorithms for combinatorial group testing and sparse recovery, focusing on near-optimal decoding time and practical applications in data analysis and signal processing.
- YouTube
- 22 minutes
- On-Demand
- Free Video
IEEE
Optimal Document Exchange and New Codes for Insertions and Deletions

Explore optimal document exchange techniques and innovative coding methods for handling insertions and deletions in data transmission and storage systems.
- YouTube
- 24 minutes
- On-Demand
- Free Video
IEEE
Beyond Trace Reconstruction: Population Recovery from the Deletion Channel

Explore advanced techniques for population recovery from deletion channels, focusing on trace reconstruction and its applications in data analysis and information theory.
- YouTube
- 24 minutes
- On-Demand
- Free Video
Simons Institute
Information-Theoretic Foundations of Generative Adversarial Models

Explore information-theoretic methods for trustworthy machine learning, focusing on generative adversarial models and their foundations for enhanced reliability and performance.
- YouTube
- 35 minutes
- On-Demand
- Free Video
Simons Institute
Majorizing Measures, Codes, and Information

Explore the connections between majorizing measures, coding theory, and information theory in machine learning, with insights from Maxim Raginsky.
- YouTube
- 36 minutes
- On-Demand
- Free Video
Simons Institute
A -Con-Sequential View of Information for Statistical Learning and Optimization

Explore information-theoretic approaches to statistical learning and optimization, focusing on sequential methods for improved trustworthiness in machine learning.
- YouTube
- 1 hour 4 minutes
- On-Demand
- Free Video
3Blue1Brown
How to Send a Self-Correcting Message - Hamming Codes

Discover error correction codes through an engaging exploration of Hamming codes, learning how to create self-correcting messages for reliable data transmission.
- YouTube
- 20 minutes
- On-Demand
- Free Video
Simons Institute
Mathematical Theories of Communication - Old and New

Explore mathematical theories of communication, from Shannon's foundational work to modern interactive coding schemes and semantic communication, with applications to real-world scenarios.
- YouTube
- 52 minutes
- On-Demand
- Free Video
Models of Consciousness Conferences
William Marshall – A Measure for Intrinsic Information

Explores a unique information measure reflecting intrinsic perspectives in communication, with implications for integrated information theory and consciousness.
- YouTube
- 21 minutes
- On-Demand
- Free Video
Models of Consciousness Conferences
Aïda Elamrani - Inputs, Outputs, and Meta-Models

Explore inputs, outputs, and meta-models in consciousness science, examining a unifying framework to compare diverse theories and bridge the mind-matter divide.
- YouTube
- 20 minutes
- On-Demand
- Free Video
Yacine Mahdid
Shannon Entropy from Theory to Python

Learn to quantify information in sequences using Shannon Entropy. Explore the theory, formula, and Python implementation of this powerful information theory metric for data analysis and comparison.
- YouTube
- 23 minutes
- On-Demand
- Free Video
Association for Computing Machinery (ACM)
Arikan Meets Shannon - Polar Codes With Near-Optimal Convergence to Channel Capacity

Explore polar codes for efficient data transmission, examining their convergence to channel capacity and applications in binary-input discrete symmetric memoryless channels.
- YouTube
- 26 minutes
- On-Demand
- Free Video

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