+1 for Information Theory, Inference, and Learning Algorithms. A fantastic book by the late David C Mackay. Part V has an interesting presentation of neural networks, but really this book is about information theory and Bayesian probability.

http://www.inference.phy.cam.ac.uk/itila/

Interesting, and quite different from other such lists that I've seen:

https://www.quora.com/How-do-I-learn-machine-learning-1

If there was a way to organize a group and work through the classes - it would be awesome!

Really good idea. One of the things that I found lacking (in retrospect, now that you mention it) in Coursera when I used it was that study groups weren't an official feature. I'm sure people made them unofficially in the forum, but it wasn't an official part of Coursera. I think it would really elevate MOOCs to another level if you could have face-to-face Skype-like study groups with other students during assignments.

Agree ... I think we have a small group here who is interested

I'm thinking of setting up a Slack (or similar, like Ryver) team for this, as opposed to pairing. Any interest?

Hey, I had the same thought and set up a group. Sign up here and an invite will be send out http://www.deeplearningweekly.com/slack_invitations/new cheers

I'm interested

I'd be willing to team up with you to learn Deep... ahem... learning.

I'm familiar with linear Algebra, so I could offer help and study R or Python while you work through it

How do I team up with you? I am familiar with R and Python as well. I haven't officially done a Linear Algebra class but I understand matrix operations well.

My email is in my profile?

Can't find it in your profile

I would also like to team up, hit me up at pedromamoura at hotmail.com

fullmetalalcoholic84 [at] gmail [dot] com