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Develop Clustering Models with Azure ML Designer
Catalin Popa
Catalin Popa
This is an intermediate project on creating clustering models in Azure Machine Learning Studio. Familiarity with any Web Browser and navigating Windows Desktop is assumed. Some background knowledge on Machine Learning or Cloud computing is beneficial but not required to complete this project. Understanding how platform services in the cloud work and how machine learning algorithms function would be of great help in understanding better what we are executing in this guided project. Some minimal data engineering and data scientist knowledge is required.
Read more
This is an intermediate project on creating clustering models in Azure Machine Learning Studio. Familiarity with any Web Browser and navigating Windows Desktop is assumed. Some background knowledge on Machine Learning or Cloud computing is beneficial but not required to complete this project. Understanding how platform services in the cloud work and how machine learning algorithms function would be of great help in understanding better what we are executing in this guided project. Some minimal data engineering and data scientist knowledge is required.
Read more
This is an intermediate project on creating clustering models in Azure Machine Learning Studio. Familiarity with any Web Browser and navigating Windows Desktop is assumed. Some background knowledge on Machine Learning or Cloud computing is beneficial but not required to complete this project. Understanding how platform services in the cloud work and how machine learning algorithms function would be of great help in understanding better what we are executing in this guided project. Some minimal data engineering and data scientist knowledge is required.
This guided project has the aim to demonstrate how you can create Machine Learning models by using the out-of-the-box solutions that Azure offers, by just using these services as-is, on your own data.
The main focus is on the data and how this is being used by the services.
As this project is based on Azure technologies, an Azure subscription is required. The project also outlines a step where an Azure subscription will be created and for this, the following items are required: a valid phone number, a credit card, and a GitHub or Microsoft account username.
The series of tasks will mainly be carried out using a web browser.
If you enjoy this project, we recommend taking the Microsoft Azure AI Fundamentals AI-900 Exam Prep Specialization: https://www.coursera.org/specializations/microsoft-azure-ai-900-ai-fundamentals
Register for this course and see more details by visiting:
OpenCourser.com/course/fh1xi5/develop
What's inside
Syllabus
Project Overview
By the end of this project, you will have successfully created an Azure account, logged into the Azure Portal, created an Azure Machine Learning Workspace and cluster data from a given data set. You will develop clustering models through a series of tasks which include selecting the appropriate actions in Azure Machine Learning Studio and then assessing and compering different clustering models. The skills learned in this guided project will provide the foundation to understanding and implementing Artificial Intelligence & Machine Learning solutions in Microsoft Azure.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches how to create clustering models by using the out-of-the-box solutions that Azure offers
Assumes some background knowledge on Machine Learning or Cloud computing
Requires an Azure subscription, which may pose a barrier to some students
Focuses on how data is used by services, which may be of interest to data scientists and engineers
Provides hands-on experience through a series of tasks
Develops foundational skills for understanding and implementing AI & Machine Learning in Microsoft Azure
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Activities
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Develop Clustering Models with Azure ML Designer.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Develop Clustering Models with Azure ML Designer will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
The Data Analyst is responsible for collecting, cleaning, and analyzing data to provide insights to businesses. By using the knowledge gained in this course, Data Analysts can create clustering models to identify patterns and trends in data, which can be used to make better decisions. This course is particularly relevant to Data Analysts because it provides hands-on experience with Azure Machine Learning Studio, a cloud-based platform for developing and deploying machine learning models.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers build, deploy, and maintain machine learning models. This course can help Machine Learning Engineers develop clustering models to solve real-world problems. The course provides hands-on experience with Azure Machine Learning Studio, a cloud-based platform for developing and deploying machine learning models. This experience will be valuable to Machine Learning Engineers as they work to build and deploy clustering models in the cloud.
Data Scientist
Data Scientist
Data Scientists use data to solve business problems. This course can help Data Scientists develop clustering models to identify patterns and trends in data. The course provides hands-on experience with Azure Machine Learning Studio, a cloud-based platform for developing and deploying machine learning models. This experience will be valuable to Data Scientists as they work to solve business problems with data.
Business Analyst
Business Analyst
Business Analysts help businesses make better decisions by providing them with data-driven insights. This course can help Business Analysts develop clustering models to identify patterns and trends in data. The course provides hands-on experience with Azure Machine Learning Studio, a cloud-based platform for developing and deploying machine learning models. This experience will be valuable to Business Analysts as they work to provide businesses with data-driven insights.
Statistician
Statistician
Statisticians use data to draw conclusions about the world. This course can help Statisticians develop clustering models to identify patterns and trends in data. The course provides hands-on experience with Azure Machine Learning Studio, a cloud-based platform for developing and deploying machine learning models. This experience will be valuable to Statisticians as they work to draw conclusions about the world.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. This course may be useful for Software Engineers who are interested in developing machine learning models. The course provides hands-on experience with Azure Machine Learning Studio, a cloud-based platform for developing and deploying machine learning models. This experience may be valuable to Software Engineers as they work to develop machine learning models.
Computer Scientist
Computer Scientist
Computer Scientists conduct research in the field of computer science. This course may be useful for Computer Scientists who are interested in developing machine learning models. The course provides hands-on experience with Azure Machine Learning Studio, a cloud-based platform for developing and deploying machine learning models. This experience may be valuable to Computer Scientists as they work to conduct research in the field of computer science.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain data pipelines. This course may be useful for Data Engineers who are interested in developing machine learning models. The course provides hands-on experience with Azure Machine Learning Studio, a cloud-based platform for developing and deploying machine learning models. This experience may be valuable to Data Engineers as they work to design, build, and maintain data pipelines.
Database Administrator
Database Administrator
Database Administrators maintain databases. This course may be useful for Database Administrators who are interested in developing machine learning models. The course provides hands-on experience with Azure Machine Learning Studio, a cloud-based platform for developing and deploying machine learning models. This experience may be valuable to Database Administrators as they work to maintain databases.
Systems Analyst
Systems Analyst
Systems Analysts design, develop, and maintain computer systems. This course may be useful for Systems Analysts who are interested in developing machine learning models. The course provides hands-on experience with Azure Machine Learning Studio, a cloud-based platform for developing and deploying machine learning models. This experience may be valuable to Systems Analysts as they work to design, develop, and maintain computer systems.
Web Developer
Web Developer
Web Developers design, develop, and maintain websites. This course may be useful for Web Developers who are interested in developing machine learning models. The course provides hands-on experience with Azure Machine Learning Studio, a cloud-based platform for developing and deploying machine learning models. This experience may be valuable to Web Developers as they work to design, develop, and maintain websites.
Mobile Developer
Mobile Developer
Mobile Developers design, develop, and maintain mobile applications. This course may be useful for Mobile Developers who are interested in developing machine learning models. The course provides hands-on experience with Azure Machine Learning Studio, a cloud-based platform for developing and deploying machine learning models. This experience may be valuable to Mobile Developers as they work to design, develop, and maintain mobile applications.
Game Developer
Game Developer
Game Developers design, develop, and maintain video games. This course may be useful for Game Developers who are interested in developing machine learning models. The course provides hands-on experience with Azure Machine Learning Studio, a cloud-based platform for developing and deploying machine learning models. This experience may be valuable to Game Developers as they work to design, develop, and maintain video games.
UX Designer
UX Designer
UX Designers design the user experience for websites and applications. This course may be useful for UX Designers who are interested in developing machine learning models. The course provides hands-on experience with Azure Machine Learning Studio, a cloud-based platform for developing and deploying machine learning models. This experience may be valuable to UX Designers as they work to design the user experience for websites and applications.
Technical Writer
Technical Writer
Technical Writers write documentation for software and hardware. This course may be useful for Technical Writers who are interested in learning about machine learning. The course provides an overview of machine learning concepts and how they can be applied to real-world problems. This knowledge may be valuable to Technical Writers as they work to write documentation for software and hardware.
For more career information including salaries, visit:
OpenCourser.com/course/fh1xi5/develop
Reading list
We've selected ten books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Develop Clustering Models with Azure ML Designer.
Provides a comprehensive overview of machine learning. It covers a wide range of topics, including data preparation, model training, and deployment. This book valuable resource for anyone who wants to learn more about machine learning.
Provides a comprehensive overview of statistical learning. It covers a wide range of topics, including data preparation, model training, and deployment. This book valuable resource for anyone who wants to learn more about statistical learning.
Provides a comprehensive overview of pattern recognition and machine learning. It covers a wide range of topics, including data preparation, model training, and deployment. This book valuable resource for anyone who wants to learn more about pattern recognition and machine learning.
Save
Provides a comprehensive overview of machine learning. It covers a wide range of topics, including data preparation, model training, and deployment. This book valuable resource for anyone who wants to learn more about machine learning.
Save
Provides a comprehensive overview of deep learning. It covers a wide range of topics, including data preparation, model training, and deployment. This book valuable resource for anyone who wants to learn more about deep learning.
Provides a comprehensive overview of statistical learning. It covers a wide range of topics, including data preparation, model training, and deployment. This book valuable resource for anyone who wants to learn more about statistical learning.
Provides a comprehensive overview of machine learning with Python. It covers a wide range of topics, including data preparation, model training, and deployment. This book valuable resource for anyone who wants to learn more about machine learning with Python.
Provides a practical guide to deep learning with Python. It covers a wide range of topics, including neural networks, convolutional neural networks, and recurrent neural networks. This book valuable resource for anyone who wants to learn more about deep learning with Python.
Provides a comprehensive overview of reinforcement learning. It covers the basics of reinforcement learning, as well as more advanced topics such as deep reinforcement learning. This book valuable resource for anyone who wants to learn more about reinforcement learning.
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Provides a gentle introduction to machine learning. It covers the basics of machine learning, as well as more advanced topics such as deep learning. This book valuable resource for anyone who wants to learn more about machine learning.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/fh1xi5/develop
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Effort
2 Hours
Level
Intermediate
Via
Coursera
Institution
Microsoft
Instructor
Catalin Popa
Language
English
Good to know
Teaches how to create clustering models by using the out-of-the-box solutions that Azure offers
Assumes some background knowledge on Machine Learning or Cloud computing
Requires an Azure subscription, which may pose a barrier to some students
Focuses on how data is used by services, which may be of interest to data scientists and engineers
Provides hands-on experience through a series of tasks
Develops foundational skills for understanding and implementing AI & Machine Learning in Microsoft Azure
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