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Explore how to make powerful, accurate predictions with ensemble learners, one of the most common classes of machine learning algorithms.
Help your service organization take advantage of emerging tech. Explore the new customer service solutions powered by artificial intelligence and machine learning.
Find out how you can give end users the capability to explore AI and machine learning in Power BI.
This course introduces you to the concepts of machine learning, what you can do with it, and how to get started with ML.NET.
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 best practices for how to produce explainable AI and interpretable machine learning solutions.
Learn about patterns, services, processes, and best practices for designing and implementing machine learning using Amazon Web Services.
Learn how statistics can help you troubleshoot issues, optimize performance, and innovate, creating new machine learning models that are more efficient.
Learn about data repositories, data ingestion, data warehousing solutions, and more to prepare for the AWS Certified Machine Learning – Specialty (MLS-C01) certification.
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.
Discover the powerful Apache Spark platform for machine learning. Learn about preprocessing data, applying algorithms to a variety of machine learning problems, and more.
Learn to use scikit-learn, the popular open-source Python library, to build efficient machine learning models.
Developing solutions with Azure Machine Learning? Get started with a clear and concise introduction to machine learning and data science.
Master linear algebra fundamentals for machine learning, including vectors, matrices, transformations, and eigenvectors. Apply concepts using Python in hands-on exercises to enhance your data science skills.
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