Databricks ML in Action
Databricks ML in Action
Learn how Databricks supports the entire ML lifecycle end to end from data ingestion to the model deployment
About the Book
Discover what makes the Databricks Data Intelligence Platform the go-to choice for top-tier machine learning solutions. Written by a team of industry experts at Databricks with decades of combined experience in big data, machine learning, and data science, Databricks ML in Action presents cloud-agnostic, end-to-end examples with hands-on illustrations of executing data science, machine learning, and generative AI projects on the Databricks Platform.
You’ll develop expertise in Databricks' managed MLflow, Vector Search, AutoML, Unity Catalog, and Model Serving as you learn to apply them practically in everyday workflows. This Databricks book not only offers detailed code explanations but also facilitates seamless code importation for practical use. You’ll discover how to leverage the open-source Databricks platform to enhance learning, boost skills, and elevate productivity with supplemental resources.
By the end of this book, you'll have mastered the use of Databricks for data science, machine learning, and generative AI, enabling you to deliver outstanding data products.
About the Author
Table of Contents
- Getting Started with This Book and Lakehouse Concepts
- Designing Databricks: Day One
- Building Out Our Bronze Layer
- Getting to Know Your Data
- Feature Engineering on Databricks
- Searching for a Signal
- Productionizing ML on Databricks
- Monitoring, Evaluating, and More
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