2. It’s essential to compare emerging best practices for machine learning engineering with traditional software development.
In this talk, Lex talked through some of the emerging best practices for machine learning engineering and looked at how they compare to those of traditional software development. He covered topics including product management, research and development, deployment, QA, and lifecycle management of machine learning projects. Specifically, he went into detail about the anatomy of a machine learning problem, the phases of machine learning projects and the unique challenges that machine learning projects introduce.