Essentials of MLOps with Azure: 3 Spark MLflow Projects on Databricks/ with Noah Gift.

Format:

Video

Author/Creator:

Gift, Noah, speaker.

Contributor:

linkedin.com (Firm)

Language:

English

Genre:

Instructional films.

Educational films.

Physical Description:

1 online resource

Place of Publication:

Carpenteria, CA: linkedin.com, 2022.

System Details:

Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Plugin. JavaScript and cookies must be enabled. A broadband Internet connection.

Summary:

Explore exciting things you can do with MLflow projects, from the perspective of both Databricks and Azure.

This series of courses introduces you to the essentials of MLOps, the application of software engineering/devops principles to the development of machine learning applications. In this course, MLOps expert Noah Gift introduces you to several of the exciting things you can do with MLflow projects, using both Databricks and Azure. Noah explores the Databricks Azure interface, running MLflow projects, autologging, and tracking model development. He explains the differences between Data Science and Engineering mode and Machine Learning Mode, as well as and how each can be used most efficiently. Noah shows you the steps to do remote experiment tracking and training within the Databricks platform. He also walks you through Databricks autologging and track model development. Note: This course was created by Noah Gift. We are pleased to host this training in our library.

Participant:

Presenter: Noah Gift

Notes:

9/09/2022

Access Restriction:

Restricted for use by site license.