Data Wrangling

11Analysis of Machine Learning Frameworks Used in Image Processing: A Review

Gurpreet Kaur¹ and Kamaljit Singh Saini²*

¹University Institute of Computing, Chandigarh University, Mohali, India

²University Institute of Engineering, Chandigarh University, Mohali, India

Abstract

The evolution of the artificial intelligence (AI) has changed the 21st century. Technologically, the advancements are quicker than the predictions. With certain advancements in AI, the field of machine learning (ML) has become the trendiest in this century. ML deals with the science that creates computers, which can learn and perform activities like human beings when we fed data and information into them. These computers do not require explicit programming. In this paper, a general idea of machine leaning concepts is given. It also describes different types of machine learning methods and enlightens the differences between them. It also enlightens the applications and frameworks used with ML for analyzing data.

Keywords: Machine learning basics, types, applications, analysis, wrangling, ML in image processing, frameworks

11.1 Introduction

ML is a type of AI that creates computers that work without explicit programming and have ability to learn. ML is all around us in this modern world. It works on developing computer programs, which can access datasets and execute automatically with detections and predictions. It enables machines to learn from experience continuously. Feeding more data into computer system ...