## basics

[10 Algorithms Every Machine Learning Enthusiast Should Know](https://www.analyticsindiamag.com/10-algorithms-every-machine-learning-enthusiast-should-know/)

[Which Machine Learning Algorithm Should You Use By Problem Type?](https://medium.com/analytics-vidhya/which-machine-learning-algorithm-should-you-use-by-problem-type-a53967326566)

## Ecorithm

[Searching for the Algorithms Underlying Life](https://www.quantamagazine.org/the-hidden-algorithms-underlying-life-20160128/)
> The biological world is computational at its core, argues computer scientist Leslie Valiant. His “ecorithm” approach uses computational concepts to explore fundamental mysteries of evolution and the mind

- PAC
[Probably Approximately Correct: Nature’s Algorithms for Learning and Prospering in a Complex World](https://www.amazon.com/Probably-Approximately-Correct-Algorithms-Prospering/dp/0465032710)

##  Practical Business Insights

++++ [Why the Future of Machine Learning is Tiny](https://petewarden.com/2018/06/11/why-the-future-of-machine-learning-is-tiny/)

## Learning 

[Practical Deep Learning For Coders - fast.ai](http://course.fast.ai/)

[Alphazero’s real secret sauce is MCTS]() by Bram Cohem of BitTorrent

> Alphazero changes two things: It uses a deep learning-based board evaluation function, and it uses Monte Carlo tree search (MCTS) instead of alpha-beta pruning to apply that function


## Applications

[AI protein-folding algorithms solve structures faster than ever](https://www.nature.com/articles/d41586-019-01357-6?utm_source=twt_nnc&utm_medium=social&utm_campaign=naturenews&sf216086134=1)
Deep learning makes its mark on protein-structure prediction.