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  2. Stanford Engineering Everywhere - Wikipedia

    en.wikipedia.org/wiki/Stanford_Engineering...

    Stanford Engineering Everywhere, or SEE is an initiative started by Andrew Ng at Stanford University to offer a number of Stanford courses free online. SEE's initial set of courses was funded by Sequoia Capital, and offered instructional videos, reading lists and assignments. The portal was designed to assist both the students and teachers ...

  3. Andrew Ng - Wikipedia

    en.wikipedia.org/wiki/Andrew_Ng

    His machine learning course CS229 at Stanford is the most popular course offered on campus with over 1,000 students enrolling some years. [24] [25] As of 2020, three of most popular courses on Coursera are Ng's: Machine Learning (#1), AI for Everyone (#5), Neural Networks and Deep Learning (#6). [26]

  4. Udacity - Wikipedia

    en.wikipedia.org/wiki/Udacity

    Udacity is the outgrowth of free computer science classes offered in 2011 through Stanford University. [9] Thrun has stated he hopes half a million students will enroll, after an enrollment of 160,000 students in the predecessor course at Stanford, Introduction to Artificial Intelligence, [10] and 90,000 students had enrolled in the initial two classes as of March 2012.

  5. I work at Microsoft and teach a Stanford Online course ... - AOL

    www.aol.com/microsoft-teach-stanford-online...

    I started guest teaching at Stanford four years ago and recently co-created a course called Mastering Generative AI for Product Innovation, which launched on Stanford Online in August 2024. It's ...

  6. Fei-Fei Li - Wikipedia

    en.wikipedia.org/wiki/Fei-Fei_Li

    She teaches the Stanford course CS231n on "Deep Learning for Computer Vision," [79] whose 2015 version was previously online at Coursera. [80] She has also taught CS131, an introductory class on computer vision.

  7. Andrej Karpathy - Wikipedia

    en.wikipedia.org/wiki/Andrej_Karpathy

    He authored and was the primary instructor of the first deep learning course at Stanford, CS 231n: Convolutional Neural Networks for Visual Recognition. [17] It became one of the largest classes at Stanford, growing from 150 students in 2015 to 750 in 2017.