You're reading from Practical Machine Learning on Databricks

Product typeBook

Published inNov 2023

Reading LevelIntermediate

PublisherPackt

ISBN-139781801812030

Edition1st Edition

Languages

Python

Concepts

Data Science

Author (1)

Debu Sinha

Part 3: ML Governance and Deployment

You will learn how to utilize the MLFlow model registry to manage model versioning and transition to production from various stages and use webhooks to set up alerts and monitoring.

This section has the following chapters:

Chapter 6, Model Versioning and Webhooks
Chapter 7, Model Deployment Approaches
Chapter 8, Automating ML Workflows Using Databricks Jobs
Chapter 9, Model Drift Detection and Retraining
Chapter 10, Using CI/CD to Automate Model Retraining and Redeployment

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Practical Machine Learning on Databricks

Published in: Nov 2023Publisher: PacktISBN-13: 9781801812030

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Author (1)

Debu Sinha

Debu is an experienced Data Science and Engineering leader with deep expertise in Software Engineering and Solutions Architecture. With over 10 years in the industry, Debu has a proven track record in designing scalable Software Applications, Big Data, and Machine Learning systems. As Lead ML Specialist on the Specialist Solutions Architect team at Databricks, Debu focuses on AI/ML use cases in the cloud and serves as an expert on LLMs, Machine Learning, and MLOps. With prior experience as a startup co-founder, Debu has demonstrated skills in team-building, scaling, and delivering impactful software solutions. An established thought leader, Debu has received multiple awards and regularly speaks at industry events.
Read more about Debu Sinha

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