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

Eric Gerlach eric+hackerspaces-discuss at gerlach.ca
Fri Sep 30 19:32:04 CEST 2011


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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