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Using Azure Machine Learning

Erick Galinkin, Noah Gift, Soham Chatterjee, and Alfredo Deza
Machine learning is a critical business operation for many organizations. Learn how to configure machine learning pipelines in Azure, identify use cases for Automated Machine Learning, and use the Azure ML SDK to design, create, and manage machine learning...
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Machine learning is a critical business operation for many organizations. Learn how to configure machine learning pipelines in Azure, identify use cases for Automated Machine Learning, and use the Azure ML SDK to design, create, and manage machine learning pipelines in Azure.

What's inside

Syllabus

In this lesson, we'll look at an overview of the course, look ahead to your final project, and discuss some of the reasons why—and when—you would want to do Machine Learning in the cloud.
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In this lesson, we'll learn how workspaces and AzureML studio enable you to be more productive as a data scientist or ML engineer.
Datastores and Datasets are a critical component of cloud computing. We'll learn how to integrate third party datasets and open datasets into our ML pipeline to quickly develop working solutions.
We'll learn how to manage pipelines and use hyperparameters in experiments, as well as how to automate changes that create huge value in terms of prediction accuracy.
In this lesson, we'll cover how the Azure ML SDK allows us to programmatically create and manage pipelines. We'll see that this approach makes pipeline creation and management a reproducible process.
We'll discuss how we can use the Azure ML SDK to do automated ML and create models more quickly and accurately. We'll also have a look at how we can make we can make our models easier to interpret.
In the project at the end of this course, you'll have the opportunity to create and optimize an ML pipeline. You'll do this using both HyperDrive and AutoML, so that you can compare the results.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Examines pipelines and features that give learners the skills needed for industry
Develops cloud computing skills, which are highly relevant to industry
Utilizes the Azure ML SDK, which is industry-standard
Taught by experienced professionals who are recognized for their work in ML
This course provides a solid foundation in ML for engineers and data scientists
Students with intermediate knowledge of ML may find this course too introductory

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Activities

Coming soon We're preparing activities for Using Azure Machine Learning. These are activities you can do either before, during, or after a course.

Career center

Learners who complete Using Azure Machine Learning will develop knowledge and skills that may be useful to these careers:
Data Scientist
Data Scientists use their knowledge of data, statistics, and machine learning algorithms to build and deploy models that can predict outcomes or identify patterns. In this course, you will learn how to use Azure Machine Learning, a cloud-based platform that makes it easy to build and deploy machine learning models. This course will teach you the skills you need to be successful as a Data Scientist, including how to collect, clean, and prepare data, build and train machine learning models, and evaluate the performance of your models.
Machine Learning Engineer
Machine Learning Engineers design, build, and deploy machine learning models that can solve real-world problems. In this course, you will learn how to use Azure Machine Learning, a cloud-based platform that makes it easy to build and deploy machine learning models. This course will teach you the skills you need to be successful as a Machine Learning Engineer, including how to collect, clean, and prepare data, build and train machine learning models, and evaluate the performance of your models.
Data Analyst
Data Analysts use their skills in data analysis, statistics, and machine learning to help businesses make better decisions. In this course, you will learn how to use Azure Machine Learning, a cloud-based platform that makes it easy to build and deploy machine learning models. This course will teach you the skills you need to be successful as a Data Analyst, including how to collect, clean, and prepare data, build and train machine learning models, and evaluate the performance of your models.
Business Analyst
Business Analysts use their skills in data analysis, statistics, and machine learning to help businesses make better decisions. In this course, you will learn how to use Azure Machine Learning, a cloud-based platform that makes it easy to build and deploy machine learning models. This course will teach you the skills you need to be successful as a Business Analyst, including how to collect, clean, and prepare data, build and train machine learning models, and evaluate the performance of your models.
Software Engineer
Software Engineers design, build, and maintain software systems. In this course, you will learn how to use Azure Machine Learning, a cloud-based platform that makes it easy to build and deploy machine learning models. This course will teach you the skills you need to be successful as a Software Engineer, including how to collect, clean, and prepare data, build and train machine learning models, and evaluate the performance of your models.
Data Engineer
Data Engineers design, build, and maintain data systems. In this course, you will learn how to use Azure Machine Learning, a cloud-based platform that makes it easy to build and deploy machine learning models. This course will teach you the skills you need to be successful as a Data Engineer, including how to collect, clean, and prepare data, build and train machine learning models, and evaluate the performance of your models.
Statistician
Statisticians use their skills in statistics and machine learning to help businesses make better decisions. In this course, you will learn how to use Azure Machine Learning, a cloud-based platform that makes it easy to build and deploy machine learning models. This course will teach you the skills you need to be successful as a Statistician, including how to collect, clean, and prepare data, build and train machine learning models, and evaluate the performance of your models.
Operations Research Analyst
Operations Research Analysts use their skills in mathematics, statistics, and computer science to solve business problems. In this course, you will learn how to use Azure Machine Learning, a cloud-based platform that makes it easy to build and deploy machine learning models. This course will teach you the skills you need to be successful as an Operations Research Analyst, including how to collect, clean, and prepare data, build and train machine learning models, and evaluate the performance of your models.
Financial Analyst
Financial Analysts use their skills in finance and statistics to help businesses make better decisions. In this course, you will learn how to use Azure Machine Learning, a cloud-based platform that makes it easy to build and deploy machine learning models. This course will teach you the skills you need to be successful as a Financial Analyst, including how to collect, clean, and prepare data, build and train machine learning models, and evaluate the performance of your models.
Market Researcher
Market Researchers use their skills in statistics and marketing to help businesses make better decisions. In this course, you will learn how to use Azure Machine Learning, a cloud-based platform that makes it easy to build and deploy machine learning models. This course will teach you the skills you need to be successful as a Market Researcher, including how to collect, clean, and prepare data, build and train machine learning models, and evaluate the performance of your models.
Actuary
Actuaries use their skills in mathematics, statistics, and economics to help businesses make better decisions. In this course, you will learn how to use Azure Machine Learning, a cloud-based platform that makes it easy to build and deploy machine learning models. This course will teach you the skills you need to be successful as an Actuary, including how to collect, clean, and prepare data, build and train machine learning models, and evaluate the performance of your models.
Risk Analyst
Risk Analysts use their skills in mathematics, statistics, and finance to help businesses make better decisions. In this course, you will learn how to use Azure Machine Learning, a cloud-based platform that makes it easy to build and deploy machine learning models. This course will teach you the skills you need to be successful as a Risk Analyst, including how to collect, clean, and prepare data, build and train machine learning models, and evaluate the performance of your models.
Underwriter
Underwriters use their skills in mathematics, statistics, and finance to help businesses make better decisions. In this course, you will learn how to use Azure Machine Learning, a cloud-based platform that makes it easy to build and deploy machine learning models. This course will teach you the skills you need to be successful as an Underwriter, including how to collect, clean, and prepare data, build and train machine learning models, and evaluate the performance of your models.
Claims Adjuster
Claims Adjusters use their skills in mathematics, statistics, and finance to help businesses make better decisions. In this course, you will learn how to use Azure Machine Learning, a cloud-based platform that makes it easy to build and deploy machine learning models. This course will teach you the skills you need to be successful as a Claims Adjuster, including how to collect, clean, and prepare data, build and train machine learning models, and evaluate the performance of your models.
Insurance Agent
Insurance Agents use their skills in sales, marketing, and finance to help businesses make better decisions. In this course, you will learn how to use Azure Machine Learning, a cloud-based platform that makes it easy to build and deploy machine learning models. This course will teach you the skills you need to be successful as an Insurance Agent, including how to collect, clean, and prepare data, build and train machine learning models, and evaluate the performance of your models.

Reading list

We've selected five 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 Using Azure Machine Learning.
Provides a comprehensive guide to machine learning with Python, covering the basics of machine learning, how to use Python and popular machine learning libraries, and how to deploy and manage machine learning models.
Provides a comprehensive guide to machine learning with R, covering the basics of machine learning, how to use R and popular machine learning libraries, and how to deploy and manage machine learning models.
Provides a comprehensive guide to deep learning with Python, covering the basics of deep learning, how to use Python and popular deep learning libraries, and how to deploy and manage deep learning models.

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