Running Machine Learning Systems in Production

Machine learning engineering is the practice of applying machine learning science to production systems. It requires expertise in both machine learning methods and software engineering. In practice, few individuals have sufficiently deep experience in both fields to act as sole practitioners. Scientists and engineers instead must work together, leveraging the skill and experience of one another, to build state-of-the-art machine learning enabled systems. In this masterclass, Garrett Smith, founder of Chicago ML and creator of Guild AI, teaches the fundamentals of machine learning engineering.