Streamlining Machine Learning

Moses and Kyle discuss the benefits of treating machine learning as a continuous integration/continuous deployment (CI/CD) process, starting with experiment management and progressing to automation. They highlight the value of logging code and automating processes, making it easier for researchers to integrate into their workflows and collaborate with their teams.