Complex Systems Studies

The Universal Pattern Popping Up in Math, Physics and Biology

All readings, video tutorials, and exercises are now freely available. Enjoy: http://www.thefunctionalart.com/2018/08/visualization-mooc-materials-available.html?m=1

🌀 https://www.quantamagazine.org/the-universal-pattern-popping-up-in-math-physics-and-biology-20180823/

🔥 A full transcript of the tutorial with jupyter notebooks, data, slides, etc. is now available at https://ingoscholtes.github.io/kdd2018-tutorial/

🌀 https://petterhol.me/2018/08/23/the-art-sport-and-science-of-network-epidemic-algorithms/amp/?__twitter_impression=true

🌀 https://www.quantamagazine.org/how-network-math-can-help-you-make-friends-20180820/

🎬 https://youtu.be/U4cftgveFTc

🔥 Set of illustrated Machine Learning cheat sheets from Stanford's CS 229 class: Deep Learning: https://t.co/BNQ7FpUum4 Supervised Learning: https://t.co/5bhzGHlUCl Unsupervised Learning: https://t.co/ZaD94OQNNN Tips and tricks: https://t.co/SciByei6a1

☑ Parallel Programming with Python https://chryswoods.com/parallel_python/index.html

🧓🏼 https://lilianweng.github.io/lil-log/2017/06/21/an-overview-of-deep-learning.html

🌀 http://www.talyarkoni.org/blog/2013/11/18/the-homogenization-of-scientific-computing-or-why-python-is-steadily-eating-other-languages-lunch/

🌀 https://blogs.scientificamerican.com/observations/how-freely-should-scientists-share-their-data/

🌀 https://towardsdatascience.com/bayesian-statistics-for-data-science-45397ec79c94

💎 Slides from Clauset's "Introduction to Networks" lecture at #SICSS2018, a super quick tour of some basic network science concepts and methods + application of them to understand faculty hiring networks in academia https://t.co/D9iJ7aaVD2

🤓 https://divisbyzero.com/2008/12/18/sharkovskys-theorem/