We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

An overview of attention detection using EEG signals, which includes six steps: an experimental paradigm design, in which the task and the stimuli are defined and presented to the subjects; EEG data ...

Overview: Machine learning failures usually start before modeling, with poor data understanding and preparation.Clean data, ...

Balance training patients may soon be able to get AI feedback during home exercises, with four wearable sensors and a new machine learning model developed at the University of Michigan.