Linking pages
- How to make a racist AI without really trying | ConceptNet blog http://blog.conceptnet.io/posts/2017/how-to-make-a-racist-ai-without-really-trying/ 355 comments
- Gastrointestinal symptoms and fecal shedding of SARS-CoV-2 RNA suggest prolonged gastrointestinal infection: Med https://www.cell.com/med/fulltext/S2666-6340(22)00167-2 58 comments
- Linux'izing your Windows PC into a dev machine – Part 2 | cepa.io https://cepa.io/2018/02/20/linuxizing-your-windows-pc-part2/ 32 comments
- GitHub - sktime/sktime: A unified framework for machine learning with time series https://github.com/alan-turing-institute/sktime 26 comments
- Logistic Regression in Python with statsmodels | Andrew Villazon https://www.andrewvillazon.com/logistic-regression-python-statsmodels/ 24 comments
- Heterogeneity in statin responses explained by variation in the human gut microbiome: Med https://www.cell.com/med/fulltext/S2666-6340(22)00173-8 3 comments
- GitHub - lsgrep/mldocs: Alfred Workflow for TensorFlow, PyTorch, Scikit-learn, NumPy, Pandas, Matplotlib, Statsmodels, Jax, RLLib API Docs https://github.com/lsgrep/mldocs 1 comment
- Acing the Data Science Interview — Part 1 | by Vimarsh Karbhari | Acing AI | Medium https://medium.com/@825fa70f9e24/298249080e59 1 comment
- Fitting Polynomial Regressions in Python https://joshualoong.com/2018/10/03/Fitting-Polynomial-Regressions-in-Python/ 0 comments
- GitHub - r0f1/datascience: Curated list of Python resources for data science. https://github.com/r0f1/datascience 0 comments
- The Logit-Normal: A ubiquitous but strange distribution! — Count Bayesie https://www.countbayesie.com/blog/2021/9/30/the-logit-normal-a-ubitiqutious-but-strange-distribution 0 comments
- Inference and Prediction Part 2: Statistics — Count Bayesie https://www.countbayesie.com/blog/2021/1/4/inference-and-prediction-part-2-statistics 0 comments
- The Ultimate Guide to Linear Regression · Learning With Data https://learningwithdata.com/posts/tylerfolkman/the-ultimate-guide-to-linear-regression/ 0 comments
- Learn Python Statistics and Machine Learning with My New Book: Training Systems using Python Statistical Modeling | Curtis Miller's Personal Website https://ntguardian.wordpress.com/2019/08/12/learn-python-statistics-and-machine-learning-with-my-new-book-training-systems-using-python-statistical-modeling/ 0 comments
- Should you teach Python or R for data science? http://www.dataschool.io/python-or-r-for-data-science/ 0 comments
- GitHub - academic/awesome-datascience: An awesome Data Science repository to learn and apply for real world problems. https://github.com/okulbilisim/awesome-datascience 0 comments
- Are dogs appreciated fairly on @dog_rates? https://vknight.org/unpeudemath/math/2018/03/28/rating-dog-rates.html 0 comments
- Lessons learned from teaching an 11-week data science course http://www.dataschool.io/teaching-data-science/ 0 comments
- GitHub - academic/awesome-datascience: An awesome Data Science repository to learn and apply for real world problems. https://github.com/bulutyazilim/awesome-datascience 0 comments
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