Mlops

concepts · 11 notes linked

Related: Uber · Experiment Tracking · Machine Learning Engineering · Horovod · Ludwig · Ray · Travis Addair · Distributed Deep Learning

Notes

• Advance AI with Open Source | Anaconda — Anaconda platform for Python AI package management and production deployment
• GitHub - eugeneyan/applied-ml — Curated industry ML blog posts and papers from production deployments
• Home - Made With ML by Anyscale — Production ML engineering curriculum covering design through deployment
• MLOps: Continuous delivery and automation pipelines in machine learning — Google Cloud reference guide for three MLOps maturity levels with CI/CD/CT pipelines
• Machine Learning Systems (Spring 2022) — UC Berkeley graduate seminar on ML systems and AI-hardware co-design
• OpenAI to acquire Neptune — OpenAI acquires Neptune experiment tracking platform for training stack
• The Fastest Way to Build ML-Powered Apps — BaseTen (Practical AI #136) — BaseTen platform lowers barrier from Jupyter notebook to production ML app
• The Future of Machine Learning Lies in Better Abstractions — Higher-level ML abstractions enabling non-experts to build efficiently
• The Notebook Anti-Pattern - KDnuggets — Why Jupyter notebooks are unsuitable for ML production pipelines
• Transforming the Retail Industry with Transformers — BERT transformers automating retail product attribute classification in production
• dslp/steps.md at main · dslp/dslp — Git-based iterative data science project lifecycle process steps