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Explore the fundamental principles of machine learning on Azure to tackle the second domain of the Microsoft Azure AI Fundamentals (AI-900) certification exam.
Learn about the common mistakes you should avoid when building your machine learning models.
Learn the basics of machine learning and how you can create a machine learning model with Python.
Learn about the machine learning lifecycle and the steps required to build systems in this hands-on course.
Help your service organization take advantage of emerging tech. Explore the new customer service solutions powered by artificial intelligence and machine learning.
Explore how to make powerful, accurate predictions with ensemble learners, one of the most common classes of machine learning algorithms.
Explore machine learning's business impact, data requirements, predictive modeling techniques, and ethical considerations. Learn to deploy ML effectively for various applications like fraud detection and marketing optimization.
This course introduces you to the concepts of machine learning, what you can do with it, and how to get started with ML.NET.
Find out how you can give end users the capability to explore AI and machine learning in Power BI.
Discover how to solve value estimation problems with machine learning. Learn how to build a value estimation system that can estimate the value of a home.
Get an introduction to the concepts and mechanics of machine learning with Azure.
Learn about patterns, services, processes, and best practices for designing and implementing machine learning using Amazon Web Services.
Learn best practices for how to produce explainable AI and interpretable machine learning solutions.
Get an in-depth introduction to probability, find out why it’s a prerequisite for machine learning, and learn how to use it to design and implement machine learning algorithms.
Learn about data repositories, data ingestion, data warehousing solutions, and more to prepare for the AWS Certified Machine Learning – Specialty (MLS-C01) certification.
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