Machine Learning

Universities
Stanford Computer Science (AI Research): http://cs.stanford.edu/research/ai
Stanford AI Lab: http://ai.stanford.edu/
Stanford Search: http://www.stanford.edu/search/
Stanford AI100: One Hundred Year Study on Artificial Intelligence

Articles
Why big tech companies are open-sourcing their AI systems
How many computers does it take to identify a cat?

People
Andrew Ng http://www.andrewng.org/
Yaser S. Abu-Mostafa http://work.caltech.edu/
See also my post here (various sources as given): Most Influential Data Scientists (Two Lists) (includes Machine Learning)
Dr. Francois M. Vanderseypen: https://github.com/Orbifold/ \\ http://www.orbifold.net/ \\

Software
TensorFlow https://www.tensorflow.org/ (Google says: “we believe [TensorFlow] to be one of the best machine learning toolboxes in the world, we hope to create an open standard for exchanging research ideas and putting machine learning in products. Google engineers really do use TensorFlow in user-facing products and services, and our research group intends to share TensorFlow implementations along side many of our research publications.”) (includes ‘Get Started’ and ‘Tutorials’ sections.)
Orbifold ML algos on GitHub: https://github.com/Orbifold/XAct

Learning: Recommended Courses
Article: How do I learn machine learning?
Article: 7 Free Machine Learning Courses

Glossaries
Machine Learning – Glossary of Terms, Stanford Artificial Intelligence Lab
Machine Learning Dictionary, School of Computer Science and Engineering, University of New South Wales

Diving Into Data: Personalised Training Plan (work in progress)

Resources: Artificial Intelligence / Machine Learning (work in progress)