ML Persona Problem

Tristan discusses the challenge of making machine learning more accessible to a broader audience, highlighting the need for tools like Continual that simplify the process of creating ML models from data. The conversation delves into the gap between understanding ML models and effectively participating in the workflow, emphasizing the importance of bridging this accessibility divide.