Come learn about the key elements of the machine learning lifecycle and how to automate away the most time-consuming manual, repeated and error-prone processes. In this webinar, we’ll discuss and demonstrate how Databricks Machine Learning can help you automate model training, tuning and the production process — saving you hours of development time.
We’ll also cover how data engineers, data scientists, ML engineers and DevOps can collaborate and make the MLOps lifecycle more efficient and productive. Along the way, we’ll highlight the newest capabilities of Databricks Machine Learning, including AutoML, the Feature Store and Model Registry webhooks.
Join us to learn how to:
- Ingest, prepare and featurize data
- Tune and train models
- Manage the model lifecycle
- Serve, monitor and retrain models in production
- Rafi Kurlansik, Sr. Solutions Architect, Machine Learning at Databricks