George H. Chen

George H. Chen (SM/EE/PhD from MIT, BS from UC Berkeley) is a postdoc at MIT in Electrical Engineering and Computer Science and will start as an assistant professor at Carnegie Mellon University's Heinz College of Public Policy and Information Systems in January 2017. He teaches, develops, studies, and applies machine learning and data analysis tools. His work has spanned a diverse range of applications such as forecasting trends on Twitter, recommending products to people in systems like Netflix, finding human organs in medical images, and detecting buildings in massive satellite images to help plan electrification projects in rural India. George enjoys teaching and has taught at the high school, undergraduate, and graduate levels.

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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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