Having an overview of Microsoft Azure would be helpful for this course.
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Microsoft Azure: Machine Learning
Cloud has become the go-to place today for storage, computation, security, analytics and many other services. The cloud is disrupting the analytics industry and taking over processes and applications by storm! This course helps you understand how the cloud makes analytics and machine learning easier.
What you'll learn
In this workshop, participants will build a machine learning pipeline using various Microsoft Azure tools and services. The workshop will take participants through how to plan data loads and imports, followed by data preparation, such as cleaning and manipulating the data for testing, training various Machine Learning models and deploying them into a production environment.
About this course
Here are a few of the takeaways that participants will gain:
Participants will be taught basic machine learning processes and how different components and tasks of Azure Machine Learning map to each step of the process.
Understand how to import and manipulate data with Azure Machine Learning Studio.
How to evaluate model performance in Azure Machine Learning Studio.
How to leverage external scripts written in R or Python with Azure Machine Learning Studio.
How to operationalize an Azure Machine Learning Studio model for consumption by an application.
Introduction to Azure Machine Learning Services
Learn In No Time
Course Duration
1
Hours
1
Days
Have a look
Course Plan
This module will take participants through the foundations of the data science lifecycle, the different steps involved, and the common machine learning techniques employed across various industry sectors today.
AML Studio Components
Data Import
Data Cleaning and Manipulation
Machine Learning Experimentation
Deploying Machine Learning Models
Consuming APIs in Excel
Introduction to Azure Machine Learning Services
Building Model Pipelines using Azure Machine Learning Services
Operationalizing Models
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