Hacker News
Linking pages
- Recommendation Systems - Not so discussed areas https://arkid.substack.com/p/recommendation-systems-not-so-discussed 15 comments
- GitHub - visenger/awesome-mlops: A curated list of references for MLOps https://github.com/visenger/awesome-mlops 2 comments
- Operationalize vector search with Pinecone and Feast Feature Store https://www.pinecone.io/docs/examples/feast-feature-store/ 0 comments
- Tecton.ai nabs $35M Series B as it releases machine learning feature store | TechCrunch https://techcrunch.com/2020/12/07/tecton-ai-nabs-35m-series-b-as-it-releases-machine-learning-feature-store/ 0 comments
- Feature Stores: The Data Side of ML Pipelines | by Sarah Wooders | riselab | Medium https://medium.com/riselab/feature-stores-the-data-side-of-ml-pipelines-7083d69bff1c 0 comments
- GitHub - RedisVentures/redis-ai-resources: ✨ A curated list of awesome community resources, integrations, and examples of Redis in the AI ecosystem. https://github.com/RedisVentures/redis-ai-resources 0 comments
Linked pages
- Emerging Architectures for Modern Data Infrastructure | Andreessen Horowitz https://a16z.com/2020/10/15/the-emerging-architectures-for-modern-data-infrastructure/ 105 comments
- Why We Need DevOps for ML Data | Tecton https://tecton.ai/blog/devops-ml-data/ 87 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 1 comment
- Feast: Feature Store for Machine Learning https://feast.dev 0 comments
- https://eng.uber.com/michelangelo-machine-learning-platform/ 0 comments
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