Personalization and Collaboration in ML Infrastructure

This chapter discusses the importance of personalization and collaboration in machine learning infrastructure. They talk about the need for data scientists to be more productive and the challenges of enabling collaboration. They touch on using shared infrastructure like notebooks to share results and ideas.