Introduction to Machine Learning: Supervised Learning offers a clear, practical introduction to how machines learn from labeled data to make predictions and decisions. You’ll build a strong foundation ...

Machine learning has been inducted into various domains for automation and insights. It has helped businesses grow by aiding decision-making based on data. Organizations create and deploy machine ...

A course in statistics at the level of IEMS 303; A course in matrix analysis; Proficiency in programming, as extensive coding will be a key part of the curriculum. This course is considered a ...

When we look out across our lecture theatres, or latterly to our Zoom class, chances are we see a very diverse group of individuals. We likely have learners from different countries, of different ages ...

Work you complete in the non-credit experience will transfer to the for-credit experience when you upgrade and pay tuition. See How It Works for details. A previous version of Machine Learning: Theory ...

The course will comprise of 10 three-hour lectures (Thursdays 14-17). Each lecture will concentrate on one topic in the area of animal learning, with the aim of starting from the behavioral phenomena, ...

This graduate-level, introductory course provides an overview of the theoretical and practical foundations that inform learning, design, and technology. Course content and activities are designed to ...

Our office partners with faculty and community partners across disciplines to provide support for the development of designated service-learning courses. Our courses are designed for faculty and ...