Linking pages
- GitHub - dive-into-machine-learning/dive-into-machine-learning: Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.) https://github.com/hangtwenty/dive-into-machine-learning 39 comments
- The Myth That Machine Learning Engineers Are Not Good General Software Engineers https://managingml.substack.com/p/the-myth-that-machine-learning-engineers 3 comments
- GitHub - eugeneyan/applied-ml: 📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production. https://github.com/eugeneyan/applied-ml 2 comments
- Introducing the AI Snake Oil book project https://aisnakeoil.substack.com/p/introducing-the-ai-snake-oil-book 1 comment
- Doing Freelance Data Science Consulting in 2019 | Ethan Rosenthal https://www.ethanrosenthal.com/2020/01/08/freelance-ds-consulting/ 0 comments
- Artificial Intelligence Risk & Governance - Artificial Intelligence for Business https://ai.wharton.upenn.edu/artificial-intelligence-risk-governance/ 0 comments
- No-data ML. No-data ML allows models to obtain… | by Ilia Zintchenko | Ntropy | Medium https://medium.com/ntropy-network/no-data-ml-ba01ea2dfd9b 0 comments
- Improving a Machine Learning System (Part 3 - A/B testing) https://danshiebler.com/2021-11-12-ml-systems-3/ 0 comments
- Building a data mesh to support an ecosystem of data products at Adevinta | by Adevinta | Adevinta Tech Blog | Medium https://medium.com/adevinta-tech-blog/building-a-data-mesh-to-support-an-ecosystem-of-data-products-at-adevinta-4c057d06824d 0 comments
- Influential Articles, January 2023 | julia ferraioli https://www.juliaferraioli.com/blog/2023/influential-articles-jan/ 0 comments
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