Reliable Machine Learning: Applying SRE Principles to ML in Production

The ultimate guide for data scientists, software engineers, product managers, and business owners looking to establish reliable machine learning (ML) systems within their organizations.

This comprehensive book provides practical insights into model monitoring in production, well-tuned model development teams, and effective communication between ML, product, and production teams.

With an SRE mindset, the authors demonstrate how to run efficient and reliable ML systems that can increase revenue, optimize decision making, solve problems, and understand customer behavior.

Don't miss out on this valuable resource for ensuring your ML system is both reliable and effective in achieving your business goals.