Test Course : #1 PwC Onboarding / with James Fritz.

Format:

Video

Author/Creator:

Fritz, James, speaker.

Contributor:

linkedin.com (Firm)

Language:

English

Genre:

Instructional films.

Educational films.

Physical Description:

1 online resource

Place of Publication:

Carpenteria, CA : linkedin.com, 2007.

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:

Learn about the basics of tracking, get into the details of why you need to track your models in production, and do some telemetry.

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 the basics of tracking, gives you details on why you need to track your models in production, and shows you some telemetry. Noah gets you started with MLflow and MLflow Tracking, open-source MLflow implementation, uploading DBFS to AutoML, and end-to-end ML with Databricks and MLflow. He dives into how to ingest tables, quick start ML, attach a notebook, inspect experiments UI, and hyperparameter tune. Noah shows you how to obtain and get started using MLflow, interact with the UI, and check out the projects. After demonstrating how to configure an AutoML experiment, he finishes up with an end-to-end MLOps model workflow. Note: This course was created by Noah Gift. We are pleased to host this training in our library.

Participant:

Presenter: James Fritz

Notes:

1/01/200712:00:00AM

Access Restriction:

Restricted for use by site license.