A Learning Transition from Machine Learning to Deep Learning: A Survey
Mercy Dol, Angelina Geetha
Abstract
As most industries demand smart analytics to keep themselves ahead, the two fields namely Machine Learning and Deep Learning play a vital role. Machine Learning has evolved from Artificial Intelligence and Deep Learning has evolved from Machine Learning. Although Deep Learning shows high end applications from Computer Vision to Natural Language Processing yet Machine Learning dominates the business analytics with its algorithms. This survey paper shows the learning transition from Machine Learning to Deep Learning by outlining the different types of Machine Learning and models currently available and also provides variety of Automatic Machine Learning tools used in healthcare nowadays. It also enlightens on Deep Learning methods and models along with challenges faced and provide insight about the future of Deep Learning. Some Machine Learning and Deep Learning healthcare applications currently used are investigated to find their techniques and process. Finally Machine Learning and Deep Learning are compared in terms of Learning.