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

ITechGeek itg at itechgeek.com
Sat Oct 1 00:51:54 CEST 2011

I didn't find out about that until after the email.

Does anyone know someplace where they actually have a complete list of
these classes?

On Fri, Sep 30, 2011 at 1:32 PM, Eric Gerlach
<eric+hackerspaces-discuss at gerlach.ca> wrote:
> Don't forget about ai-class.org!
> Cheers,
> Eric
> On Fri, Sep 30, 2011 at 2:20 AM, ITechGeek <itg at itechgeek.com> wrote:
>> Intro to Databases:
>> www.db-class.org
>> 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:
>> www.ml-class.org
>> 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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