Rules of Machine Learning: | Google Developers

Linking pages

Why We Need DevOps for ML Data | Tecton https://tecton.ai/blog/devops-ml-data/ 87 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
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
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
GitHub - kelvins/awesome-mlops: A curated list of awesome MLOps tools https://github.com/kelvins/awesome-mlops 0 comments
GitHub - adeshpande3/Machine-Learning-Links-And-Lessons-Learned: List of all the lessons learned, best practices, and links from my time studying machine learning https://github.com/adeshpande3/Machine-Learning-Links-And-Lessons-Learned 0 comments
Learn Machine Learning – NO Complexity https://nocomplexity.com/machine-learning-resources/ 0 comments
Predicting Customer Lifetime Value with Unified Customer Data — Amperity Engineering Blog https://eng.amperity.com/posts/2019/12/predictive-clv 0 comments
Improving a Machine Learning System (Part 3 - A/B testing) https://danshiebler.com/2021-11-12-ml-systems-3/ 0 comments

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