More talks in the program:
09:00 - 09:45
Description: While notebooks are great for early experimentation with ML models, they are not ideal to facilitate company-wide, transparent and production-scale ML development. How can data scientists run their notebook experiments asynchronously on the cloud while having automatic versioning for code, data, hyperparameters, and more? Time to take your Jupyter game to the next level!