Current Trends in Machine Learning Algorithms and Application on Health Sensor Data

Abstract

This paper is focused with currently trending machine learning algorithms (deep learning, Hierarchical temporal memory) and their application in health sensor data. Also, it captures some of the challenges faced during application of machine learning algorithms and also focuses on some advantages and limitations in applying specific machine learning algorithms in health sensor data. Lastly, it covers focuses on sensor big data and machine learning integration.