Linking pages
- On Moving from Statistics to Machine Learning, the Final Stage of Grief – r y x, r https://ryxcommar.com/2019/07/14/on-moving-from-statistics-to-machine-learning-the-final-stage-of-grief/ 103 comments
- Why I'm Not a Fan of R-Squared · John Myles White http://www.johnmyleswhite.com/notebook/2016/07/23/why-im-not-a-fan-of-r-squared/ 88 comments
- Moving Beyond Engagement: Optimizing Facebook's Algorithms for Human Values https://www.surgehq.ai/blog/what-if-social-media-optimized-for-human-values 33 comments
- GPT-2 Neural Network Poetry · Gwern.net https://www.gwern.net/GPT-2 13 comments
- Richard Feynman on Artificial General Intelligence | by Jørgen Veisdal | Cantor’s Paradise https://medium.com/cantors-paradise/richard-feynman-on-artificial-general-intelligence-2c1b9d8aae31 9 comments
- Making Anime Faces With StyleGAN · Gwern.net https://www.gwern.net/Faces 4 comments
- ML From Scratch, Part 2: Logistic Regression - OranLooney.com http://www.oranlooney.com/post/ml-from-scratch-part-2-logistic-regression/ 4 comments
- Interviewing is a noisy prediction problem · Erik Bernhardsson https://erikbern.com/2018/05/02/interviewing-is-a-noisy-prediction-problem.html 2 comments
- Goodbye Scatterplot, Welcome Binned Scatterplot | by Matteo Courthoud | Towards Data Science https://towardsdatascience.com/goodbye-scatterplot-welcome-binned-scatterplot-a928f67413e4 1 comment
- Goodbye Scatterplot, Welcome Binned Scatterplot | by Matteo Courthoud | Towards Data Science https://medium.com/towards-data-science/goodbye-scatterplot-welcome-binned-scatterplot-a928f67413e4 1 comment
- Richard Feynman on Artificial General Intelligence | by Jørgen Veisdal | Cantor’s Paradise https://www.cantorsparadise.com/richard-feynman-on-artificial-general-intelligence-2c1b9d8aae31 1 comment
- Dissecting Reinforcement Learning-Part.7 https://mpatacchiola.github.io/blog/2017/12/11/dissecting-reinforcement-learning-7.html 0 comments
- Learning from users faster using machine learning · Erik Bernhardsson https://erikbern.com/2017/12/12/learning-from-users-faster-using-machine-learning.html 0 comments
- Tutorial: Learning Curves for Machine Learning in Python for Data Science https://www.dataquest.io/blog/learning-curves-machine-learning/ 0 comments
- What digits should you bet on in Super Bowl squares? – Variance Explained http://varianceexplained.org/r/super-bowl-squares/ 0 comments
- WTF is the Bias-Variance Tradeoff? (Infographic) https://elitedatascience.com/bias-variance-tradeoff 0 comments
- Large Scale Decision Forests: Lessons Learned - Sift Engineering Blog : Sift Engineering Blog http://blog.siftscience.com/2015/large-scale-decision-forests-lessons-learned/ 0 comments
- Build a Random Forest Algorithm with Python | Enlight https://enlight.nyc/random-forest 0 comments
- How to Compare Two or More Distributions | by Matteo Courthoud | Towards Data Science https://medium.com/towards-data-science/how-to-compare-two-or-more-distributions-9b06ee4d30bf 0 comments
- A Comprehensive Study Guide for the Google Professional Machine Learning Engineer Certification | by Jeffrey Luppes | Towards Data Science https://towardsdatascience.com/a-comprehensive-study-guide-for-the-google-professional-machine-learning-engineer-certification-1e411db4d2cf 0 comments
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