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Uncertainty is unavoidable in real-world applications: we can almost never predict with certainty what will happen in the future, and even in the present and the past, many important aspects of the world are not observed with certainty. Probability theory gives us the basic foundation to model our beliefs about the different possible states of the world, and to update these beliefs as new evidence is obtained. These beliefs can be combined with individual preferences to help guide our actions, and even in selecting which observations to make. Game Theory - January 2012. Human-Computer Interfaces - January 2012. Software Engineering for Software as a Service - January 2012. Natural Language Processing - January 2012. Computer Science 101 - January 2012.
About the Course UPDATE: we're doing a live, updated MOOC of this course at stanford-online July-2014 (not this Coursera version).
See here: CS101 teaches the essential ideas of Computer Science for a zero-prior-experience audience.
Machine Learning. Machine learning is the science of getting computers to act without being explicitly programmed.
In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. Introduction to Databases.
About The Course A bold experiment in distributed education, "Introduction to Databases" is being offered free and online to students worldwide, October 10 - December 12, 2011.
Students have access to lecture videos, are given assignments and exams, receive regular feedback on progress, and participate in a discussion forum. Those who successfully complete the course will receive a statement of accomplishment. Intro to AI - Introduction to Artificial Intelligence - Oct-Dec 2011.