Machine learning has become an integral part of our daily lives, but its rapid development and deployment also creates new technical, social and ethical challenges. While machine learning systems have…
Predicting rotations: This task utilizes the fact that images have a natural orientation. The model is trained to predict if an image has been rotated by 0, 90, 180 or…
Define goals and scope: The first step is to define clearly what assets will be monitored, what type of failures or degradation you want to predict, and the specific key…
Machine learning is increasingly being used in cybersecurity as it allows computers to identify complex patterns in large datasets. Some of the major ways machine learning is applied to cybersecurity…
One of the main challenges in achieving interpretability in deep learning models is the complexity of the models themselves. Deep learning architectures like deep neural networks are able to automatically…
Virtual reality (VR) has immense potential to enhance learning for students with various disabilities. Some of the ways VR can benefit students with disabilities include: VR can help students with…
A traditional learning model refers to the conventional classroom-based approach where students attend lectures and learn entirely in a face-to-face environment from a teacher in a physical classroom. In a…
Andrew Stroud 
Alma Torres