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 ...

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 ...

This guide has been created to support WMU instructors in the design and development of courses for all modalities, helping them to create learning experiences that meet instructional goals and ...

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 ...

Accessible and impactful learning experiences don’t just happen, they are intentionally designed to proactively address the needs of all learners. Universal Design for Learning (UDL) is an ...

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, ...

Modeled on the human brain, neural networks are one of the most common styles of machine learning. Get started with the basic design and concepts of artificial neural networks. Artificial intelligence ...