Hacker News
- Google Rules of Machine Learning (2018) https://developers.google.com/machine-learning/guides/rules-of-ml 7 comments
Linking pages
- Why We Need DevOps for ML Data | Tecton https://tecton.ai/blog/devops-ml-data/ 87 comments
- Throw more AI at your problems https://frontierai.substack.com/p/throw-more-ai-at-your-problems 55 comments
- ML Universal Guides | Google Developers https://developers.google.com/machine-learning/guides/ 54 comments
- 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
- Counterfactual Regret Minimization - the core of Poker AI beating professional players int8.io https://int8.io/counterfactual-regret-minimization-for-poker-ai/ 32 comments
- GitHub - NARKOZ/guides: Design and development guides https://github.com/narkoz/guides 24 comments
- Applying deep learning to Airbnb search | the morning paper https://blog.acolyer.org/2019/10/09/applying-deep-learning-to-airbnb-search/ 15 comments
- Software commodities are eating interesting data science work | Yanir Seroussi | Data science and beyond https://yanirseroussi.com/2020/01/11/software-commodities-are-eating-interesting-data-science-work/ 12 comments
- Rules of Machine Learning: | Google Developers https://developers.google.com/machine-learning/rules-of-ml/ 12 comments
- What Is a Feature Store? | Tecton https://www.tecton.ai/blog/what-is-a-feature-store/ 6 comments
- MLOps guide https://huyenchip.com/mlops/ 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
- If you’re a developer transitioning into data science, here are your best resources https://medium.freecodecamp.org/if-youre-a-developer-transitioning-into-data-science-here-are-your-best-resources-c31928b53cd1 1 comment
- ML Proverbs - by Leonard Aukea - A small mind https://leonardaukea.substack.com/p/ml-proverbs 1 comment
- Why Our Food Prep Time Prediction Works Better https://techblog.citystoragesystems.com/p/food-prep-time-prediction 1 comment
- What's happening at the intersection of ML and Engineering. https://arkid.substack.com/p/whats-happening-at-the-intersection 1 comment
- Three Risks in Building Machine Learning Systems https://insights.sei.cmu.edu/sei_blog/2020/05/three-risks-in-building-machine-learning-systems 0 comments
- Building Production Machine Learning Systems | by Manu Suryavansh | Heartbeat https://heartbeat.fritz.ai/building-production-machine-learning-systems-7eda2fda0cdf 0 comments
- Google AI Dopamine, GLUE, TransmogrifAI, Machine Learning for Health Care, NLP Interpretability, Probabilistic Thinking,… | by elvis | DAIR.AI | Medium https://medium.com/dair-ai/google-ai-dopamine-glue-transmogrifai-machine-learning-for-health-care-nlp-interpretability-1a143ae5cb65 0 comments
- Learn Machine Learning – NO Complexity https://nocomplexity.com/learn-machinelearning/ 0 comments
Linked pages
- TensorFlow http://tensorflow.org/ 440 comments
- Google Developers http://developers.google.com 109 comments
- Cargo cult programming - Wikipedia https://en.wikipedia.org/wiki/Cargo_cult_programming 70 comments
- Practical advice for analysis of large, complex data sets http://www.unofficialgoogledatascience.com/2016/10/practical-advice-for-analysis-of-large.html 59 comments
- ML Universal Guides | Google Developers https://developers.google.com/machine-learning/guides/ 54 comments
- Machine Learning: The High Interest Credit Card of Technical Debt â Google Research http://research.google.com/pubs/pub43146.html 26 comments
- Google Knowledge Graph - Wikipedia https://en.wikipedia.org/wiki/Knowledge_Graph 9 comments
- tf–idf - Wikipedia https://en.wikipedia.org/wiki/Tf%E2%80%93idf 3 comments
- Google Developers Product Index https://developers.google.com/products/ 0 comments
- AI-complete - Wikipedia https://en.wikipedia.org/wiki/AI-complete 0 comments
- Receiver operating characteristic - Wikipedia https://en.wikipedia.org/wiki/Receiver_operating_characteristic 0 comments
- Machine Learning | Google for Developers https://developers.google.com/machine-learning 0 comments
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