(Get or collect data, Data pre-processing (cleaning, normalization, standardization, dimensionality reduction), Feature extraction and selection (with Deep Learning?), Model selection (development, ...

Objectives: To explore the effect of flipped classroom combined with case-based learning in Introduction to Environmental Health Science for the Master of Public Health (MPH). Methods: The MPH ...

Welcome! This repository encapsulates all materials that I created for the course ISE-364 / 464, titled "Introduction to Machine Learning". This includes all original lecture slides as well as ...

Reinforcement Learning (RL) is becoming increasingly popular among relevant researchers, especially after DeepMind’s acquisition by Google and its subsequent success in AlphaGo. Here, I will review a ...

This is my master thesis project, with the goal of exploring how VR can be utilized as a tool for learning in AI education. I developed a prototype application for the Oculus Quest, where students are ...

Experiential learning (EL) is learning by doing. This is an active, hands-on process where learners apply their knowledge and practise their skills, while also engaging in reflection. Reflecting ...

ABSTRACT: Meaningful learning of basic science concepts is a difficult goal to reach among students from different health related university careers. We present an integrative approach based on ...

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.