Code vs. SQL in ML

Erik and Michael discuss the schism between code and SQL in machine learning, highlighting the importance of procedural code and the limitations of purely SQL-based ML approaches. They also touch on the potential for simplified SQL interfaces and the role of Data Frame APIs in supporting the data science community.