Linkedin - Essentials of MLOps with Azure 4 Spark MLflow Models and Model Registry

"softddl.org"
11-11-2022, 11:37
Rating:
0
0 vote
  • Linkedin - Essentials of MLOps with Azure 4 Spark MLflow Models and Model Registry
    Released 09/2022
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
    Skill Level: Advanced | Genre: eLearning | Language: English + srt | Duration: 12m | Size: 37.1 MB
    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 MLflow models and steps you through the process of creating them. Noah explains some essentials of MLOps with Azure, then goes over how to log, load, register, and deploy MLflow models. He covers how to work with your models on Databricks, as well as how to serve out a model, review its different versions, and invoke a version. Noah walks you through end-to-end machine learning on Databricks and highlights several very useful advanced features in Databricks.

Linkedin - Essentials of MLOps with Azure 4 Spark MLflow Models and Model Registry
Released 09/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Advanced | Genre: eLearning | Language: English + srt | Duration: 12m | Size: 37.1 MB
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 MLflow models and steps you through the process of creating them. Noah explains some essentials of MLOps with Azure, then goes over how to log, load, register, and deploy MLflow models. He covers how to work with your models on Databricks, as well as how to serve out a model, review its different versions, and invoke a version. Noah walks you through end-to-end machine learning on Databricks and highlights several very useful advanced features in Databricks.


Homepage
https://www.linkedin.com/learning/essentials-of-mlops-with-azure-4-spark-mlflow-models-and-model-registry




Links are Interchangeable - No Password - Single Extraction
 
Comments
The minimum comment length is 50 characters. comments are moderated
There are no comments yet. You can be the first!
Download free » Tutorials » Linkedin - Essentials of MLOps with Azure 4 Spark MLflow Models and Model Registry
Copyright holders