Goku Mohandas

Monitoring ML systems to identify and mitigate model performance decay. Goku Mohandas · · Repository · Notebook 📬  Receive new lessons straight to your inbox (once a month) and join 20K+ developers in learning how to responsibly deliver value with ML. Intuition Even though we've trained and thoroughly evaluated our model, the real work begins. This is one of the fundamental differences between traditional software engineering and ML development.

MLOps Learn how to apply ML to build a production grade product and deliver value. 📦 Product 🔢 Data 📈 Modeling 📝 Scripting 📦 Application ✅ Testing ♻️ Reproducability 🚀 Production Dashboard CI/CD Monitoring Feature stores Workflows To cite this course, please use: @miscful API{madewithml, title = "MLOps - Made With ML", author = "Goku Mohandas", url = "https://madewithml.com/courses/mlops/" year = "2021", }

�� A comprehensive look at recent machine learning advancements in health. 📕 Check out practicalAI for tutorials on machine learning concepts in this article. 🤖 Content below contains novel techniques with a focus on interpretability. 🗂 List of relevant research papers organized by topic is located in the Appendix. � Thank you to Suchi Saria, Jimeng Sun and Nigam Shah for research and feedback.