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 ...
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 ...
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 ...
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 ...
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, ...
Find out why backpropagation and gradient descent are key to prediction in machine learning, then get started with training a simple neural network using gradient descent and Java code. Most ...
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 ...
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