- Enjoying John Baez’s blog Azimuth. Especially the posts on good research practices and an older post on levels of mathematical understanding.
- García-Pérez, Serrano, and Boguñá wrote a cool paper on primes, probability, and integers as a bipartite network.
- Loved the idea behind the game theoretical book “Survival of the Nicest” (see Yes Magazine for a two page introduction).
- Scott Young is learning Chinese quickly.
- Cyber warriors to the rescue.
- Mao, Fluxx, and Douglas Hofstadter‘s Nomic are fun games.
- Healy and Caudell are applying category theory to semantic and neural networks.
- Some MOOCs for data science and machine learning.
- Here an old but good free online course on the Computational Complexity of Machine Learning.
- Great TeX graphics.
- Watch this Ted Video to learn anything in 20 hours (YMMV).
- Where are all the Steeler fans? Cowboy fans? ….
- Productivity Hints.
- Copper + Magnets = Fun
- Stray dogs on the subway.
- Deep learning on NPR.
- Happy 40th birthday D&D
- Google is applying deep learning to images of house numbers
- Deep learning in your browser.
- How to write a great research paper.
- Do Deep Nets Really Need to be Deep?
- A variation on neural net dropout.
- Provable algorithms for Machine Learning
- 100 Numpy Exercises
- Learn and Practice Applied Machine Learning | Machine Learning Mastery