In Deep Learning: A Practical Introduction, a team of distinguished researchers delivers a book complete with coverage of the theoretical and practical elements of deep learning. The book includes ...

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 ...

Medium Article on the course: https://medium.com/better-programming/how-to-teach-ai-and-ml-to-middle-schoolers-34bf59262ea8 This is a detailed repository for an ...

A presentation given and written by Christopher Ostrouchov all contributions are welcome. We will be using the materials project and it's available data to "predict" material properties through ...

The goal of this book is to provide a mathematical perspective on some key elements of the so-called deep neural networks (DNNs). Much of the interest in deep learning has focused on the ...

ABSTRACT: Single-agent reinforcement learning (RL) is commonly used to learn how to play computer games, in which the agent makes one move before making the next in a sequential decision process.

This course provides an introduction to learning and teaching for GTAs at Imperial. This course will offer you an overview of the GTA roles supporting student learning. We will discuss planning ...

ABSTRACT: Tertiary institutions are increasingly using online virtual environments such as Blackboard to upload course content for students. However, there is still limited usage of the online ...