A Research on Recent Machine Learning Access and Representation

Abstract

The technology advancement in computer field has made abundance of data to be stored, maintained and retrieved easily.  The data stored can be in structured and unstructured form.  These data can be used to predict useful knowledge.  Lots of research work is carried out in machine learning which is derived as a branch of artificial intelligence.  The machine learning algorithms are developed to allow system to evolve and predict the knowledge based on the given empirical data.  The self-learning algorithms are developed to automate knowledge prediction.  The classical machine learning algorithms can be classified as supervised, unsupervised, and semi-supervised learning. Machine learning algorithms are applied in various applications such as object detection, object recognition, face detection, image segmentation, economical and commercial usage, etc.  In this work carried a study on the machine learning approaches that are widely used.