[hackerspaces] Free Intro to Databases and Machine Learning classes from Stanford University

ITechGeek itg at itechgeek.com
Fri Sep 30 08:20:05 CEST 2011

Intro 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. Taught by Professor Jennifer Widom, the curriculum
draws from Stanford's popular Introduction to Databases course. A high
speed internet connection is recommended as the course content is
based on videos and online exercises.

Machine Learning:

About the class:  Video on the web page.

About The Instructor

Professor Andrew Ng is Director of the Stanford Artificial
Intelligence Lab, the main AI research organization at Stanford, with
20 professors and about 150 students/post docs. At Stanford, he
teaches Machine Learning, which with a typical enrollment of 350
Stanford students, is among the most popular classes on campus. His
research is primarily on machine learning, artificial intelligence,
and robotics, and most universities doing robotics research now do so
using a software platform (ROS) from his group.

In 2008, together with SCPD he started SEE (Stanford Engineering
Everywhere), which was Stanford's first attempt at free, online
distributed education. Since then, over 200,000 people have viewed his
machine learning lectures on YouTube, and over 1,000,000 people have
viewed his and other SEE classes' videos.

Ng is the author or co-author of over 100 published papers in machine
learning, and his work in learning, robotics and computer vision has
been featured in a series of press releases and reviews. In 2008, Ng
was featured in Technology Review's TR35, a list of "35 remarkable
innovators under the age of 35". In 2009, Ng also received the IJCAI
Computers and Thought award, one of the highest honors in AI.

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