Presented by
Zac Davies, Solutions Architect, Databricks Australia & New Zealand
A Guide to Data Science using Databricks
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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No matter at what stage of your data journey you’re in, this channel will help you get a better understanding of the fundamental concepts of the Databricks Lakehouse platform and the problems we’re helping to solve for data teams.