Microsoft Azure Machine Learning Fundamentals

سرفصل های دوره

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.

01 - Introduction

01 - Microsoft Azure Machine Learning Fundamentals Introduction

02 - 1. Introduction to Machine Learning

01 - Learning objectives

02 - Understand machine learning

03 - Explore the machine learning workflow

04 - Learn how to select the right algorithms

05 - Discover data-centric machine learning

06 - Demo Create an Azure machine learning workspace

07 - Lab Create an Azure machine learning workspace

03 - 2. Introduction to Azure Machine Learning

01 - Learning objectives

02 - What is Azure machine learning

03 - Azure machine learning in context

04 - Azure machine learning workspaces

05 - Azure Machine Learning Studio

06 - Leverage the Azure Machine Learning SDK

07 - Demo Exploring the Azure Machine Learning designer

08 - Lab Running experiments with SDK

04 - 3. Improve Your Azure Machine Learning Model

01 - Learning objectives

02 - Hyperparameter tuning

03 - Automated machine learning

04 - Introduction to biasvariance trade-off

05 - Demo Automated machine learning

06 - Lab Tuning hyperparameters

05 - 4. Deploy and Monitor Your Model

01 - Learning objectives

02 - Deploy and consume your model

03 - CICD with machine learning

04 - Monitor data drift and use Application Insights

05 - Demo Deploy your model and monitor with Application Insights

06 - Lab Monitor data drift

06 - 5. Interpret Your Model

01 - Learning objectives

02 - Introduction to explainers

03 - Global and local feature importance

04 - Detect and mitigate fairness

05 - Demo Interpret your model

06 - Lab Detect and mitigate unfairness

07 - Summary

01 - Microsoft Azure Machine Learning Fundamentals Summary

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تولید کننده: LinkedIn Learning (Lynda)