- Software commodities are eating interesting data science work https://yanirseroussi.com/2020/01/11/software-commodities-are-eating-interesting-data-science-work/ 12 comments datascience
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- Bayesian Methods for Hackers http://camdavidsonpilon.github.io/probabilistic-programming-and-bayesian-methods-for-hackers/ 129 comments
- Stan - Stan https://mc-stan.org/ 127 comments
- Recommender System – Amazon Personalize – Amazon Web Services https://aws.amazon.com/personalize/ 119 comments
- Weka 3 - Data Mining with Open Source Machine Learning Software in Java http://www.cs.waikato.ac.nz/ml/weka/ 42 comments
- Machine Learning – Amazon Web Services https://aws.amazon.com/sagemaker/ 29 comments
- Why you should stop worrying about deep learning and deepen your understanding of causality instead | Yanir Seroussi | Data science and beyond https://yanirseroussi.com/2016/02/14/why-you-should-stop-worrying-about-deep-learning-and-deepen-your-understanding-of-causality-instead 25 comments
- Rules of Machine Learning: | Google for Developers https://developers.google.com/machine-learning/guides/rules-of-ml#rule_14_starting_with_an_interpretable_model_makes_debugging_easier 8 comments
- scikit-learn: machine learning in Python — scikit-learn 1.3.1 documentation http://scikit-learn.org/stable/index.html 1 comment
- The hardest parts of data science | Yanir Seroussi | Data science and beyond http://yanirseroussi.com/2015/11/23/the-hardest-parts-of-data-science/ 0 comments
- First steps in data science: author-aware sentiment analysis | Yanir Seroussi | Data science and beyond http://yanirseroussi.com/2015/05/02/first-steps-in-data-science-author-aware-sentiment-analysis/ 0 comments
- Learning about deep learning through album cover classification | Yanir Seroussi | Data science and beyond http://yanirseroussi.com/2015/07/06/learning-about-deep-learning-through-album-cover-classification/ 0 comments
- The wonderful world of recommender systems | Yanir Seroussi | Data science and beyond http://yanirseroussi.com/2015/10/02/the-wonderful-world-of-recommender-systems/ 0 comments
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