Data teams face numerous challenges throughout the data science and machine learning lifecycle that hinder productivity. As organizations continue to become more data driven, a collaborative environment that supports the full machine learning lifecycle becomes increasingly critical. It needs to provide easier access and visibility into the data, reports and dashboards built against the data, reproducibility and insights uncovered within the data.
Join us for this follow-along session, where you’ll get access to Databricks’ open and collaborative platform and learn how it simplifies data science by enabling you to run all types of machine learning workloads, from data preparation to exploratory analysis and predictive analytics, at scale — all on one unified platform.
- 9:00–9:05 AM Welcome
- 9:05–9:20 AM Presentation: Data Science and ML on Databricks
- 9:20–10:20 AM Lab Workshop
- 10:20–10:30 AM Q&A