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Build Optimal Models with Azure Automated ML

Axel Sirota

Regardless of if you have some hours or some years building models, Azures’s Automated Machine Learning has something to amaze you. This course will teach you how to use it to build the best Machine Learning model for your data in just a few clicks!

Building Machine Learning models means iterating multiple times over the best features, the best architectures, the best algorithms, until you get a model that serves your business purpose. In this course, Build Optimal Models with Azure Automated ML, you’ll learn to create the best machine learning model for your own specific data in just a few clicks. First, you’ll explore what Auto ML really is. Next, you’ll discover how to create optimal models both from the UI as well as the SDK. Finally, you’ll learn how to improve our models with more advanced techniques Azure ML offers. When you’re finished with this course, you’ll have the skills and knowledge of Automated Machine Learning needed to build the best Machine Learning model for your data in just a few clicks!

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What's inside

Syllabus

Course Overview

Introducing Azure Automated Machine Learning

Creating Optimized Models with Azure Machine Learning Studio

Creating Optimized Models with Azure Machine Learning SDK

Final Thoughts

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Focuses on teaching students how to use Azure Machine Learning's automated machine learning capabilities to create optimal models for their specific data

Introduces learners to Azure Machine Learning's automated machine learning capabilities and their applications

Students with either limited or extensive experience in building models may benefit from this course

Students will learn about creating optimal machine learning models using both the UI and SDK interfaces

Covers advanced Azure ML techniques for improving model capabilities, making it suitable for learners seeking to enhance their ML skills

It is unclear whether the course covers deploying and monitoring ML models

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Activities

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Career center

Learners who complete Build Optimal Models with Azure Automated ML will develop knowledge and skills that may be useful to these careers:

Data Scientist

A Data Scientist works closely with teams to define problems that can be solved through data analysis. They build models to understand patterns and relationships in the data, and develop solutions to improve business outcomes. This course can be helpful for Data Scientists because it provides them with a solid understanding of Automated Machine Learning, a powerful tool that can help them build better models and improve their productivity.

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Machine Learning Engineer

A Machine Learning Engineer is responsible for designing, developing, and deploying machine learning models. They work with data scientists to identify the appropriate algorithms and techniques to use, and they develop the code necessary to implement the models. This course can be helpful for Machine Learning Engineers because it provides them with a hands-on understanding of Automated Machine Learning, a tool that can help them automate the process of building and deploying machine learning models.

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Data Analyst

A Data Analyst collects, cleans, and analyzes data to identify trends and patterns. They use this information to make recommendations to businesses on how to improve their operations. This course can be helpful for Data Analysts because it provides them with a solid understanding of Automated Machine Learning, a tool that can help them automate the process of data analysis and make more accurate predictions.

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Business Analyst

A Business Analyst works with businesses to identify and solve problems. They use data analysis to understand the business's needs and develop solutions that improve efficiency and profitability. This course can be helpful for Business Analysts because it provides them with a solid understanding of Automated Machine Learning, a tool that can help them automate the process of data analysis and make more accurate recommendations.

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Software Engineer

A Software Engineer designs, develops, and maintains software applications. They work with teams to identify the user's needs and develop software that meets those needs. This course may be helpful for Software Engineers because it provides them with a solid understanding of Automated Machine Learning, a tool that can help them automate the process of developing and maintaining software applications.

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Quant

A Quant is a financial analyst who uses mathematical and statistical models to make investment decisions. They work with data to identify trends and patterns, and they develop models to predict future market behavior. This course may be helpful for Quants because it provides them with a solid understanding of Automated Machine Learning, a tool that can help them automate the process of developing and maintaining financial models.

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Operations Research Analyst

An Operations Research Analyst uses mathematical and statistical models to solve business problems. They work with data to identify inefficiencies and develop solutions to improve efficiency and profitability. This course may be helpful for Operations Research Analysts because it provides them with a solid understanding of Automated Machine Learning, a tool that can help them automate the process of developing and maintaining operations research models.

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Statistician

A Statistician collects, analyzes, and interprets data. They work with data to identify trends and patterns, and they develop models to predict future outcomes. This course may be helpful for Statisticians because it provides them with a solid understanding of Automated Machine Learning, a tool that can help them automate the process of developing and maintaining statistical models.

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Data Engineer

A Data Engineer designs, builds, and maintains data pipelines. They work with data to ensure that it is accurate, consistent, and accessible. This course may be helpful for Data Engineers because it provides them with a solid understanding of Automated Machine Learning, a tool that can help them automate the process of developing and maintaining data pipelines.

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Database Administrator

A Database Administrator manages and maintains databases. They work with data to ensure that it is secure, reliable, and performant. This course may be helpful for Database Administrators because it provides them with a solid understanding of Automated Machine Learning, a tool that can help them automate the process of developing and maintaining databases.

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Business Intelligence Analyst

A Business Intelligence Analyst uses data to identify trends and patterns and develop solutions to improve business outcomes. This course may be helpful for Business Intelligence Analysts because it provides them with a solid understanding of Automated Machine Learning, a tool that can help them automate the process of developing and maintaining business intelligence dashboards and reports.

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Market Researcher

A Market Researcher collects and analyzes data to understand consumer behavior. They work with data to identify trends and patterns, and they develop recommendations for businesses on how to improve their marketing strategies. This course may be helpful for Market Researchers because it provides them with a solid understanding of Automated Machine Learning, a tool that can help them automate the process of developing and maintaining market research surveys and reports.

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Product Manager

A Product Manager is responsible for the development and launch of new products. They work with teams to identify the user's needs and develop products that meet those needs. This course may be helpful for Product Managers because it provides them with a solid understanding of Automated Machine Learning, a tool that can help them automate the process of developing and maintaining product roadmaps and specifications.

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Project Manager

A Project Manager is responsible for the planning, execution, and completion of projects. They work with teams to identify the project's goals and objectives, and they develop plans to achieve those goals. This course may be helpful for Project Managers because it provides them with a solid understanding of Automated Machine Learning, a tool that can help them automate the process of developing and maintaining project plans and schedules.

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Consultant

A Consultant provides advice and guidance to businesses on how to improve their operations. They work with businesses to identify problems and develop solutions. This course may be helpful for Consultants because it provides them with a solid understanding of Automated Machine Learning, a tool that can help them automate the process of developing and maintaining consulting reports and presentations.

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Reading list

We've selected 16 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 Build Optimal Models with Azure Automated ML.

Mathematics for Machine Learning