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Learning from Data by Caltech Professor Yaser Abu-Mostafa : https://work.caltech.edu/telecourse.html https://work.caltech.edu/telecourse.html. There was an edX
by tmbsundar 11y ago
Learning from Data by Caltech Professor Yaser Abu-Mostafa : https://work.caltech.edu/telecourse.html https://work.caltech.edu/telecourse.html. There was an edX version last year
MMDS: Mining Massive Datasets by Stanford professors Jure Leskovec, Anand Rajaraman,Jeff Ullman, Link: https://www.coursera.org/course/mmds https://www.coursera.org/course/mmds
Neural Networks for Machine Learning: Geoffrey Hinton, Link: https://www.coursera.org/course/neuralnets https://www.coursera.org/course/neuralnets
Artificial Intelligence for Robotics: Programming a Robotic Car, Sebastian Thrun Link: https://www.udacity.com/course/artificial-intelligence-for-robotics--cs373 https://www.udacity.com/course/artificial-intelligence-for-r...
Intro to Artificial Intelligence, Peter Norvig & Sebastian Thrun. This was the one which started it all in 2011, joined a little late by Andrew Ng's ML course which has been mentioned already.
Intro to Artificial Intelligence link: https://www.udacity.com/course/intro-to-artificial-intelligence--cs271 https://www.udacity.com/course/intro-to-artificial-intellige...
- alkalait 11y agoI enjoyed MMDS, but the lectures given by Ulman were painful to sit through. The man could simply not deliver a single sentence not read verbatim from a screen.
- roye 11y agosame here, had to watch some of those lectures at 2x speed
- Hortinstein 11y agoI took Mr. Thrun's class on Programming a Robotic Car last year for part of my OMSCS classes at GA Tech. They should use classes like this in undergrad computer science to show why Linear Algebra will be so important and the amazing applications you can do with it. Highly recommended.