Linking pages
- Mental Models I Find Repeatedly Useful | by Gabriel Weinberg | Medium https://medium.com/@yegg/mental-models-i-find-repeatedly-useful-936f1cc405d 227 comments
- Logistic Regression from scratch - Philipp Muens https://philippmuens.com/logistic-regression-from-scratch/ 61 comments
- The Illustrated Word2vec – Jay Alammar – Visualizing machine learning one concept at a time. https://jalammar.github.io/illustrated-word2vec/ 58 comments
- GitHub - duckythescientist/SmoothLife: Continuous Domain Game of Life in Python with Numpy https://github.com/duckythescientist/SmoothLife 54 comments
- A Tale of Twenty-Two Million Citi Bike Rides: Analyzing the NYC Bike Share System - Todd W. Schneider http://toddwschneider.com/posts/a-tale-of-twenty-two-million-citi-bikes-analyzing-the-nyc-bike-share-system/ 45 comments
- Practical Dependent Types in Haskell: Type-Safe Neural Networks (Part 1) · in Code https://blog.jle.im/entry/practical-dependent-types-in-haskell-1.html 32 comments
- “Bitcoin is killing the planet”: Fact or Fiction? | by Peter Shin | Medium https://medium.com/@petershin45/bitcoin-is-killing-the-planet-fact-or-fiction-2df23a933f34?source=linkshare-f0f1e558279c-1526171749 23 comments
- How to prevent mass death | Revolutionary Mathematics https://revolutionarymathematics.wordpress.com/2020/03/11/how-to-prevent-mass-death/ 23 comments
- Are we getting tired of Twitter? - Chalkdust http://chalkdustmagazine.com/blog/are-we-getting-tired-of-twitter/ 12 comments
- A Few of My Favorite Sigmoids | Raph Levien’s blog https://raphlinus.github.io/audio/2018/09/05/sigmoid.html 6 comments
- The mostly complete chart of Neural Networks, explained | by Andrew Tch | Towards Data Science https://towardsdatascience.com/the-mostly-complete-chart-of-neural-networks-explained-3fb6f2367464 6 comments
- Second step with non-linear regression: adding predictors | R-bloggers https://www.r-bloggers.com/second-step-with-non-linear-regression-adding-predictors/ 5 comments
- Introducing the backprop library · in Code https://blog.jle.im/entry/introducing-the-backprop-library.html 5 comments
- Modelling Population Growth in Python - Michael https://michaelneuper.com/posts/modelling-population-growth-in-python/ 4 comments
- Predicting FIFA World Cup 2018 using Machine Learning. | by Gerald Muriuki | Good Audience https://medium.com/@itsmuriuki/predicting-fifa-world-cup-2018-using-machine-learning-dc07ad8dd576 1 comment
- FiveThirtyEight's Elo Ratings and Logistic Regression – Nic Dobson – half a thought in the head https://nicidob.github.io/nba_elo/ 1 comment
- bnomial-archive/questions.md at master · akhildevelops/bnomial-archive · GitHub https://github.com/Enforcer007/bnomial-archive/blob/master/questions.md 0 comments
- Modern Machine Learning Algorithms: Strengths and Weaknesses https://elitedatascience.com/machine-learning-algorithms 0 comments
- The One Equation that Describes the EV Revolution – that No-one Uses – dollarsperbbl http://www.dollarsperbbl.com/2017/06/02/the-one-equation-that-describes-the-ev-revolution-that-no-one-uses/ 0 comments
- The Number – Asymco http://www.asymco.com/2018/02/27/the-number/ 0 comments
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