Microsoft Azure Machine Learning Fundamentals

Focused View

Microsoft Press and Tim Warner

3:18:15

190 View

01 - Introduction

01 - Microsoft Azure Machine Learning Fundamentals Introduction.mp4

02:22

02 - 1. Introduction to Machine Learning

01 - Learning objectives.mp4

00:27

02 - Understand machine learning.mp4

08:49

03 - Explore the machine learning workflow.mp4

12:59

04 - Learn how to select the right algorithms.mp4

13:04

05 - Discover data-centric machine learning.mp4

04:05

06 - Demo Create an Azure machine learning workspace.mp4

06:37

07 - Lab Create an Azure machine learning workspace.mp4

00:19

03 - 2. Introduction to Azure Machine Learning

01 - Learning objectives.mp4

00:25

02 - What is Azure machine learning.mp4

08:22

03 - Azure machine learning in context.mp4

07:44

04 - Azure machine learning workspaces.mp4

03:47

05 - Azure Machine Learning Studio.mp4

09:25

06 - Leverage the Azure Machine Learning SDK.mp4

04:02

07 - Demo Exploring the Azure Machine Learning designer.mp4

13:28

08 - Lab Running experiments with SDK.mp4

06:43

04 - 3. Improve Your Azure Machine Learning Model

01 - Learning objectives.mp4

00:30

02 - Hyperparameter tuning.mp4

11:17

03 - Automated machine learning.mp4

11:25

04 - Introduction to biasvariance trade-off.mp4

08:39

05 - Demo Automated machine learning.mp4

04:32

06 - Lab Tuning hyperparameters.mp4

04:32

05 - 4. Deploy and Monitor Your Model

01 - Learning objectives.mp4

00:28

02 - Deploy and consume your model.mp4

07:46

03 - CICD with machine learning.mp4

06:41

04 - Monitor data drift and use Application Insights.mp4

09:23

05 - Demo Deploy your model and monitor with Application Insights.mp4

06:39

06 - Lab Monitor data drift.mp4

03:09

06 - 5. Interpret Your Model

01 - Learning objectives.mp4

00:25

02 - Introduction to explainers.mp4

04:22

03 - Global and local feature importance.mp4

05:38

04 - Detect and mitigate fairness.mp4

03:28

05 - Demo Interpret your model.mp4

04:34

06 - Lab Detect and mitigate unfairness.mp4

01:23

07 - Summary

01 - Microsoft Azure Machine Learning Fundamentals Summary.mp4

00:46

Description

Machine learning is rapidly becoming ubiquitous, making it a key technology to learn. It is changing the landscape of business. Learning the key concepts of machine learning is essential to understanding its capabilities and knowing how to use it. This course targets those hands-on skills and provides directed learning in several important areas. Instructor Justin Frébault walks you through machine learning fundamentals—the different types of algorithms, the machine learning workflow, and data-centric machine learning—and provides best practices for better models with Azure Machine Learning. Learn how to industrialize your models by deploying and monitoring them through demos and hands-on labs. This course also introduces popular tools in Azure for interpreting your models so that they can better support business decisions.

More details

User Reviews

Rating

average 0

Total votes0

Focused display

Machine Learning

Microsoft Azure

Microsoft Press and Tim Warner

Instructor's Courses

Linkedin Learning

View courses Linkedin Learning

LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.