Gregory W. Wornell

Gregory W. Wornell received the B.A.Sc. degree from the University of British Columbia, Canada, and the S.M. and Ph.D. degrees from MIT, all in Electrical Engineering and Computer Science, in 1985, 1987 and 1991, respectively. Since 1991 he has been on the faculty at MIT, where he is the Sumitomo Professor of Engineering in the department of Electrical Engineering and Computer Science. His research interests and publications span the areas of signal processing, information theory, statistical inference, and digital communication, and include algorithms and architectures for wireless and sensor networks, multimedia applications, imaging systems, and aspects of computational biology and neuroscience.

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Computational Probability and Inference (edX) EdX
MIT,MITx

Computational Probability and Inference (edX)

CS: Software Engineering Engineering

Dive into the world of Computational Probability and Inference with this comprehensive online course. Gain a deep understanding of probabilistic analysis and learn how to create computer programs that can reason with uncertainty and make informed predictions. Explore practical applications in various fields such as machine learning, data science, and artificial intelligence. Whether you're interested in improving recommendation systems or developing smarter algorithms for spam filtering and autonomous navigation, this course provides the essential tools and knowledge to succeed.

No sessions available
5-12 Weeks
Probability Algorithms Inference
Details
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