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

[Atrus]

Those are the only three.
On Sep 30, 2011 6:52 PM, "ITechGeek" <itg at itechgeek.com> wrote:
> 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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