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Orchestrate Machine Learning Model Training with Azure DevOps pipelines (MLOps)

Microsoft Reactor
113K subscribers
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1.7K views 3 years ago
Orchestrating machine learning model training is a key element of DevOps for machine learning. In this session, you'll learn how to create, publish, and run pipelines to train models in Azure Machine Learning. The session will focus on Azure services and related products Azure Machine Learning Service ,Azure Machine Learning SDK,Azure DevOps & MLOps What will you learn from the session : a) Create Pipeline steps b) Pass data between steps c) Publish and run a pipeline d) Schedule a pipeline Further Learning : https://aka.ms/MLwithpipelines Speaker : Shivam Sharma Speaker BIO- Shivam is an author, cloud architect, speaker, and Co-Founder at TechScalable. Being passionate about ever evolving technology he works on Azure, GCP, Machine Learning, Kubernetes & DevOps. He is also a Microsoft Certified Trainer. He architects’ solutions on Cloud as well on-premises using wide array of platforms/technologies. Social Handle LinkedIn -   / shivam-sharma-9828a536   Twitter -   / shivamsharma_ts   Facebook -   / tsshivamsharma   [eventID:15731] ...more
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Learning Module

2:14

Challenges Which We Face in in Machine Learning

4:33

Model Selection

10:33

Team Data Science Process

11:48

Data Science Life Cycle

12:16

Baseline Directory Structure

16:47

Seven Principles

17:47

Levels of Maturity in the Machine Learning Operations

22:11

Automated Training of the Models

23:42

Automated Model Deployment

24:17

Version Control

27:04

Azure Machine Learning Service

27:23

Early Termination Strategies

27:57

Business Flow

33:32

Azure Data Drift Monitor

40:12

Devops Tools

42:57

Azure Devops Portal

43:06

Enterprise Machine Learning Template

43:49

Code Structure

44:57

Run Config File

47:05

Environment File

47:40

Github Actions

54:24

Azure Credential

1:02:17

Deployment File

1:03:32

The Machine Learning Workspace

1:06:02

Compute Cluster

1:06:46
Orchestrate Machine Learning Model Training with Azure DevOps pipelines (MLOps)
20Likes
1,742Views
2022Apr 14
Orchestrating machine learning model training is a key element of DevOps for machine learning. In this session, you'll learn how to create, publish, and run pipelines to train models in Azure Machine Learning. The session will focus on Azure services and related products Azure Machine Learning Service ,Azure Machine Learning SDK,Azure DevOps & MLOps What will you learn from the session : a) Create Pipeline steps b) Pass data between steps c) Publish and run a pipeline d) Schedule a pipeline Further Learning : https://aka.ms/MLwithpipelines Speaker : Shivam Sharma Speaker BIO- Shivam is an author, cloud architect, speaker, and Co-Founder at TechScalable. Being passionate about ever evolving technology he works on Azure, GCP, Machine Learning, Kubernetes & DevOps. He is also a Microsoft Certified Trainer. He architects’ solutions on Cloud as well on-premises using wide array of platforms/technologies. Social Handle LinkedIn -   / shivam-sharma-9828a536   Twitter -   / shivamsharma_ts   Facebook -   / tsshivamsharma   [eventID:15731]

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Microsoft Reactor

113K subscribers