Machine Learning Engineering on Google Cloud: A Pragmatic Guide to MLOps and Surviving Production
You did everything by the book. You hired a brilliant data scientist. They spent a month analyzing your historical data, built a predictive model in a Jupyter Notebook, and achieved a stunning 95% accuracy on a perfectly clean CSV file. The board of directors applauded. Then you deployed it to production. On day one, the…
