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https://github.com/tynes/readings

Welcome to my e-library
https://github.com/tynes/readings

Last synced: 9 days ago
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Welcome to my e-library

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README

        

# readings
This is a repo full of articles, papers and assorted readings that I find to be interesting or thought provoking. Forever a work in progress

## Programming

### Data Science
[Bayesian Methods for Hackers](https://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/)
[How to Become A Data Scientist](https://www.experfy.com/blog/how-to-become-a-data-scientist-part-1-3)

### JavaScript
[Use Cases for Proxies](http://devbryce.com/use-cases-for-es6-proxies/)
#### React
[Using bind when Passing Props is Bad](https://daveceddia.com/avoid-bind-when-passing-props/)

#### Webpack
[SurviveJS - Developing with Webpack](http://survivejs.com/webpack/developing-with-webpack/)

### Functional Programming
[Algebraic Patterns - Semigroup](http://philipnilsson.github.io/Badness10k/posts/2016-07-14-functional-patterns-semigroup.html)
[The Theory of Concatenative Combinators](http://tunes.org/~iepos/joy.html)

### Machine Learning
[Approaching Almost Any Machine Learning Problem](http://blog.kaggle.com/2016/07/21/approaching-almost-any-machine-learning-problem-abhishek-thakur/)
[Scipy Lecture Notes](http://www.scipy-lectures.org/)
[Logical Induction- Machine Intelligence Research Institute](https://intelligence.org/2016/09/12/new-paper-logical-induction/)

### Data Science
[How to Become a Data Scientist](https://www.experfy.com/blog/how-to-become-a-data-scientist-part-1-3)
[How I built a Slack bot to help me find an apartment in San Francisco](https://www.dataquest.io/blog/apartment-finding-slackbot/)
[Computational and Inferential Thinking](https://www.inferentialthinking.com/)

## Science

### Neuroscience
[5 Ways to Increase Cognitive Potential](http://blogs.scientificamerican.com/guest-blog/you-can-increase-your-intelligence-5-ways-to-maximize-your-cognitive-potential/)
[Fatigue is a Brain Derived Emotion](http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3323922/#!po=27.8281)

### Physics
[How Feynman Diagrams Almost Saved Space](https://www.quantamagazine.org/20160705-feynman-diagrams-nature-of-empty-space/)
[Richard Feynman and The Connection Machine](http://longnow.org/essays/richard-feynman-connection-machine/)

### Computer Science Theory
[What we talk about when we talk about computation](https://pressron.wordpress.com/2016/08/30/what-we-talk-about-when-we-talk-about-computation/)
[IPFS Data Structures](https://www.infoq.com/presentations/data-ipfs-ipld)

### Misc.
[Harmony Explained: Progress Towards A Scientific Theory of Music](http://arxiv.org/html/1202.4212v1)
[Dissonance and Subjectivity](http://arstechnica.com/science/2016/07/the-jaws-theme-might-not-be-scary-for-tsimane-people/)
[Combinatorial Music Theory](http://andrewduncan.net/cmt/)

## Culture
[How VR Gaming will Wake Us up to Our Fake Worlds](http://ieet.org/index.php/IEET/more/Edge20160628)
[Beyond Belief: The Cults of Burning Man](https://techgnosis.com/beyond-belief-cults-of-burning-man/)
[REALITY IS A SHARED HALLUCINATION](http://reactor-core.org/reality-hallucination.html)
[Homo Deus by Yuval Noah Harari review – how data will destroy human freedom](https://www.theguardian.com/books/2016/aug/24/homo-deus-by-yuval-noah-harari-review)
[Isaac Asimov Asks, “How Do People Get New Ideas?”](https://www.technologyreview.com/s/531911/isaac-asimov-asks-how-do-people-get-new-ideas/)

## Math
[Category Theory for Scientists](http://category-theory.mitpress.mit.edu/)
[Scott Aaronson's Biology Paper](http://www.scottaaronson.com/blog/?p=2862)
[Math 101: A reading list for lifelong learners](http://ideas.ted.com/math-101-a-reading-list-for-lifelong-learners/)
[Habits of highly mathematical people](https://medium.com/@jeremyjkun/habits-of-highly-mathematical-people-b719df12d15e)

## News
[Elon Musk - Master Plan Part Deux](https://www.tesla.com/blog/master-plan-part-deux)
[Sam Altman's Manifest Destiny](http://www.newyorker.com/magazine/2016/10/10/sam-altmans-manifest-destiny)