Machine learning is at the core of artificial intelligence, and many modern applications and services depend on predictive machine learning models. Training a machine learning model is an iterative process that requires time and compute resources. Automated machine learning can help make it easier. In this course, you will learn how to use Azure Machine Learning to create and publish models without writing code.
This course is part of the Microsoft Azure Data Scientist Associate (DP-100) Professional Certificate
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About this Course
General programming knowledge or experience would be beneficial. You need to have basic computer literacy and proficiency in the English language.
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessWhat you will learn
Identify different kinds of machine learning models
How to use the automated machine learning capability of Azure Machine Learning to train and deploy a predictive model
Create regression, classification, and clustering models using Azure Machine Learning designer
Use Azure Machine Learning to create and publish models without writing code
Skills you will gain
- Machine Learning
- regression
- Microsoft Azure
- Regression Analysis
- Supervised Learning
General programming knowledge or experience would be beneficial. You need to have basic computer literacy and proficiency in the English language.
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Syllabus - What you will learn from this course
Use Automated Machine Learning in Azure Machine Learning
Create a Regression Model with Azure Machine Learning Designer
Create a Classification Model with Azure AI
Create a Clustering Model with Azure AI
Reviews
- 5 stars64.81%
- 4 stars25.92%
- 3 stars9.25%
TOP REVIEWS FROM MICROSOFT AZURE MACHINE LEARNING FOR DATA SCIENTISTS
Great content with very helpful practical exercises
About the Microsoft Azure Data Scientist Associate (DP-100) Professional Certificate

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