Data Challenges Unpacked
Duncan shares the complexities of managing data frames, highlighting the frustrations encountered during debugging. Seyed emphasizes the importance of defining key performance indicators and acknowledges the effort put into creating visual representations of the data. Together, they reflect on the time-consuming nature of the process, with Duncan estimating around four hours of focused work to reach their current progress.In this clip
From this podcast

Catalyst with Shayle Kann
AI for climate: a real world test
Related Questions