I am taking two coursera courses on Machine Learning (Andrew Ng) and University of Washington certificate. A lot of the material is overlapping between the two courses; so it’s great and I am getting some good programming (particularly python) experience. I am glad they call this machine learning and not intelligence course because doing gradient descent and dynamic optimization techniques are not intelligence or even learning in my opinion.
Basically, anything that is Math/statistics, I think is not intelligence. I think this is why it is so important to have an understanding of other disciplines and in particular Neuroscience, Psychology and/or Philosophy. After reading Pentii Kanerva and Jeff Hawkins work it’s pretty clear to me that brain learns by storing related information and recalling information. I hope to just get out programming and data analysis experience from the coursera course. After these courses are complete, I plan to take the Computational Neuroscience class and Neuroscience certificate track from Duke University.