In this free three-part training series, we’ll 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 series, we’ll work with a single data set throughout the lifecycle as well as scikit-learn, MLflow and Apache SparkTM on Databricks. The notebooks and data set will be provided so you can follow along and practice at your own pace.
Senior curriculum engineer, Databricks
Master instructor, Databricks
If you want to continue to practice on your own, don't miss our Big Book of Data Science Use Cases. This how-to reference guide provides everything you need — including code samples and notebooks — so you can start getting your hands dirty putting the Databricks platform to work.Download now
A collection of data science and machine learning talks from leading industry experts from Atlassian, Zynga, Starbucks, and more.