🔖 The Top 5 Papers About MLOps You Should Know (Part 2)

3️⃣ Machine Learning: The High-Interest Credit Card of Technical Debt by D. Sculley, Gary Holt, Daniel Golovin, Eugene Davydov,
Todd Phillips, Dietmar Ebner, Vinay Chaudhary, Michael Young

4️⃣ The ML Test Score: A Rubric for ML Production Readiness and Technical Debt Reduction By Eric Breck, Shanqing Cai, Eric Nielsen, Michael Salib, D. Sculley

#mlops #productionml #devops #data #datascience #readinglist #mlopsengineer

🔖 The Top 5 Papers About MLOps You Should Know (Part 1)

1️⃣ Operationalizing Machine Learning: An Interview Study By
Shreya Shankar, Rolando Garcia, Joseph M. Hellerstein, Aditya G. Parameswaran

2️⃣ Socio-Technical Anti-Patterns in Building ML-Enabled Software by Alina Mailach, Nortbert Siegmund

#mlops #productionml #devops #data #datascience #readinglist #mlopsengineer