- Tooling for various stages of production ML pipeline? data -> experimentation -> versioning -> deployment? https://huyenchip.com/mlops/ 3 comments learnmachinelearning
Linked pages
- What Glassdoor interview reviews reveal about tech hiring cultures https://huyenchip.com/2019/08/21/glassdoor-interview-reviews-tech-hiring-cultures.html 476 comments
- What we look for in a resume https://huyenchip.com/2023/01/24/what-we-look-for-in-a-candidate.html 320 comments
- Analysis of compensation, level, and experience details of 19k tech workers https://huyenchip.com/2020/01/18/tech-workers-19k-compensation-details.html 228 comments
- https://probml.github.io/pml-book/book1.html 155 comments
- Building LLM applications for production https://huyenchip.com/2023/04/11/llm-engineering.html 136 comments
- Creating a Modern OCR Pipeline Using Computer Vision and Deep Learning - Dropbox https://blogs.dropbox.com/tech/2017/04/creating-a-modern-ocr-pipeline-using-computer-vision-and-deep-learning/ 125 comments
- Why data scientists shouldn’t need to know Kubernetes https://huyenchip.com/2021/09/13/data-science-infrastructure.html 121 comments
- What I learned from looking at 200 machine learning tools https://huyenchip.com/2020/06/22/mlops.html 106 comments
- How we grew from 0 to 4 million women on our fashion app, with a vertical machine learning approach | by Gabriel Aldamiz... | HackerNoon.com | Medium https://medium.com/@aldamiz/how-we-grew-from-0-to-4-million-women-on-our-fashion-app-with-a-vertical-machine-learning-approach-f8b7fc0a89d7 91 comments
- 150 successful machine learning models: 6 lessons learned at Booking.com | the morning paper https://blog.acolyer.org/2019/10/07/150-successful-machine-learning-models/ 87 comments
- Deep Learning http://www.deeplearningbook.org/ 75 comments
- https://eng.uber.com/scaling-michelangelo/ 59 comments
- Introduction to Information Retrieval http://nlp.stanford.edu/IR-book/information-retrieval-book.html 33 comments
- Welcome to Spinning Up in Deep RL! — Spinning Up documentation https://spinningup.openai.com/en/latest/ 23 comments
- Sutton & Barto Book: Reinforcement Learning: An Introduction http://incompleteideas.net/book/the-book-2nd.html 21 comments
- The spelled-out intro to neural networks and backpropagation: building micrograd - YouTube https://www.youtube.com/watch?v=VMj-3S1tku0 17 comments
- Machine Learning-Powered Search Ranking of Airbnb Experiences | by Mihajlo Grbovic | The Airbnb Tech Blog | Medium https://medium.com/airbnb-engineering/machine-learning-powered-search-ranking-of-airbnb-experiences-110b4b1a0789 8 comments
- Amazon.com: Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications: 9781098107963: Huyen, Chip: Books https://www.amazon.com/Designing-Machine-Learning-Systems-Production-Ready/dp/1098107969 5 comments
- A friendly introduction to machine learning compilers and optimizers https://huyenchip.com/2021/09/07/a-friendly-introduction-to-machine-learning-compilers-and-optimizers.html 4 comments
- “Probabilistic machine learning”: a book series by Kevin Murphy | pml-book https://probml.github.io/pml-book/ 3 comments
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