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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.
This tutorial provides a modern introduction to renormalization from a complex systems point of view.
This tutorial introduces fundamental concepts in information theory.
Explore advanced techniques in learnt image compression, focusing on cutting-edge algorithms and their applications in reducing file sizes while maintaining visual quality.
Explore lossy compression fundamentals and quantization techniques in this Stanford lecture, covering essential concepts for efficient data reduction in various applications.
Ever wonder how Netflix can predict what movies you'll like? Or how Amazon knows what you want to buy before you do? The answer can be found in Unsupervised Learning!
The course emphasizes connections between theoretical concepts and practice using programming tasks and some experiments with real-world communication channels.
Learn fundamentals of probabilistic analysis and inference. Build computer programs that reason with uncertainty and make predictions. Tackle machine learning problems, from recommending movies to spam filtering to robot navigation.
Learn to make confident, data-driven decisions in streaming applications through four courses covering sequential decisions, hypothesis testing, information theory, and causal inference.
Explore sequential hypothesis testing for data-driven decision-making, from Chernoff's landmark paper to modern applications in pricing, healthcare, and image analysis.
Explore cutting-edge research on AI's impact on economic growth, labor markets, and policy. Gain insights into intelligence, technological progress, and potential future scenarios, including transformative AI.
Explore cryptography and information theory, combining techniques for protecting data with studies of information coding and transfer. Gain insights into entropy, security principles, and attacker perspectives.
Explore fundamental concepts of information theory, including data compression, channel coding, and rate-distortion theory. Gain insights into communication systems and their limits.
Explore the fascinating phenomenon of black holes and their information-consuming nature with physicist Vijay Balasubramanian in this engaging lecture on theoretical physics.
Explore MIMO wireless communication fundamentals, including channel models, capacity, diversity, space-time coding, and multi-user systems for advanced wireless technologies like 5G.
Explore the connection between thermodynamic and state definitions of entropy in this mind-blowing, math-focused video. Gain deep insights into entropy as a measure of system states.
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