(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 ...
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 ...
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 ...
The Learning for the Future model describes the process by which students will develop their interdisciplinary skills. Each skill is part of a sequential process that builds upon the last. By ...
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