Nanoelectronics. Intro to AI - Introduction to Artificial Intelligence - Oct-Dec 2011. Ai-class.com 2011 archive. Thanks to everyone for your patience with the slowness of the site. Our servers were the target of an attack today and at this point everything should be back to normal. Clarification on Final Question 9 Irvin - 6 days ago The following clarification has been added: In part four of this question, ratio refers to the resulting value of focal length divided by the distance to the object. Final Exam PDF AI Class Team You can download a physical copy of the final exam at Last Office Hours and Final Exam - 7 days ago The last office hours are now up and can be viewed on YouTube, thanks for all the questions! Part I: Part II: Part III: The final will be going up in a few hours at 2011-12-16 00:00 UTC. Good luck on the final and we hope you've enjoyed the course!
Feedback - 8 days ago Final Exam Last Week. 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.
In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you'll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, you'll learn about some of Silicon Valley's best practices in innovation as it pertains to machine learning and AI.
Introduction to Databases. Open Climate Science 101. This class is starting on Coursera beginning October 21, 2013. It's the same material but new, remade lecture videos targeted for on-line learning. This Open Climate 101 moodle site has suffered some bit rot resulting in lost images, and while I'll try to straighten it out its future is unclear. If you're interested, look for us on Coursera! Three thousand non-science major undergraduates at the University of Chicago have taken this class since 1996, and learned the science behind the forecast for a human influence on Earth's climate.
The story combines physics, chemistry, biology, and Earth and atmospheric science. The content of this class is now being served to the internet world at large. You can watch video lectures followed by quizzes to stimulate your understanding, and work your way through tutorial exercises letting you get hands-on with interactive models and simple mathematical ideas. "Just wanted to say thank you for the great opportunity to be in your global warming class.