Polina Golland

Polina Golland is a professor of Electrical Engineering and Computer Science at MIT. She received her PhD from MIT and her Bachelor and Master’s degree from Technion, Israel. Her primary research interest is in developing novel algorithms for medical image analysis and understanding. She uses inference in her research to understand and characterize anatomical patterns with disease from large medical image collections. She also builds computational tools for image guided surgical planning and navigation.

Filter Courses within "Polina Golland" (Click to filter)
Reset Filters | Advanced Global Search
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
Page 1