A Guide to Data Science using Databricks

Presented by

Zac Davies, Solutions Architect, Databricks Australia & New Zealand

About this talk

As organisations continue to become more data-driven, a collaborative environment for easier access and visibility into the data, models trained against the data, reproducibility, and insights uncovered within the data is critical. Explore how Databricks lets data scientists and ML engineers quickly move from experimentation to production-scale machine learning model deployments — all on the same platform. In this workshop, we’ll work with a single data set throughout the lifecycle as well as scikit-learn, MLflow and Apache Spark™ on Databricks.

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