Why write programs when the computer can instead learn them from data? In this class you will learn how to make this happen, from the simplest machine learning a...
Machine learning aims to extract knowledge from data, relying on fundamental concepts in computer science, statistics, probability and optimization. Learning alg...
Learn about artificial neural networks and how they're being used for machine learning, as applied to speech and object recognition, image segmentation, modeling...
The cell is a powerful case study to help us explore the functional logic of living systems. All organisms, from single-celled algae to complex multicellular org...
Clique aqui para a versão em português. How much can we know of the physical world? Can we know everything? Or are there fundamental limits to how much we can e...
This course deals with pattern recognition which has several important applications. For example, multimedia document recognition (MDR) and automatic medical dia...
In this class, you will learn the basics of the PGM representation and how to construct them, using both human knowledge and machine learning techniques.
What do self-driving cars, face recognition, web search, industrial robots, missile guidance, and tumor detection have in common? They are all complex real world...
This course aims to teach students the principles involved in compiler design. It will cover all the basic components of a compiler but not the advanced material...
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