International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 03 | Mar 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 4654 A REVIEW ON MACHINE LEARNING ALGORITHMS AND THEIR APPLICATIONS A. Kavitha Assistant Professor of Computer Science, Aditanar College of Arts and Science, Tiruchendur, Tamilnadu, India -----------------------------------------------------------------------***-------------------------------------------------------------------- Abstract- In the field of computing, the concept of Machine Learning is one of the most exciting technologies that make our work easier in our day to day life. Machine Learning is used to solve real-world problems by storing, manipulating, extracting and retrieving data from large sources. It is a very powerful tool. It focuses on the development of computer programs that can access data and use it learn for themselves without human intervention. In this paper, different types of machine learning algorithms and their applications are discussed. Keywords: Machine learning, Supervised, Unsupervised, Reinforcement, Regression, Random forest 1. INTRODUCTION Traditional Programming refers to manually written program that uses input data and runs on a computer to produce the output. In Machine Learning the input data and output are fed to an algorithm to create a program. The following diagram Fig-1 shows the difference between Traditional Programming and Machine learning. Fig -1 : Difference between Traditional Programming and Machine Learning Machine learning is an application of AI (Artificial Intelligence) that gives systems the ability to automatically learn and improve from experience without being explicitly programmed. It is used to teach machines the way to handle the data more efficiently. In recent years, machine learning has become more popular in research and is used in large number of applications, including Data mining, Image processing, Speech Recognition, Health care, social network analysis, text mining, video recommendation and so on. The main objective of Machine learning is development of computer programs that can access data and use it learn for themselves. Learning begins with observations or data, such as examples, direct experience, or instruction, in order to look for patterns in data and make better decisions in the future based on the examples that we provide [1][2]. 2. USES OF MACHINE LEARNING  Face Recognition-The face recognition is one of the immense features that are developed by machine learning only  Voice Recognition-Machine learning helps in voice recognition. It also mentioned as virtual personal assistants. It will assist you to find the information when asked over the voice. After your question, that assistant will look out for the data or the information that has been asked by you and collect the required information to provide you with the best answer.  Videos Surveillance-It helps to detect the crime or any miss happening that is going to happen before it happens. It helps in tracking the unusual behavior of individuals like napping on benches and standing still from a long time, stumbling etc. and it will create an automatic alert to the people who all are posted there and that they can help to avoid any issues or problems.  Social Media Platform-Social Media is used for providing better news feed and advertisement as per the user’s interest is especially done through the uses of machine learning only. Some of the examples like friend suggestions, page suggestions for Facebook, songs, and videos suggestion on YouTube.  Spam and Malware-Email clients use variety of spam filtering and these spam filters are continuously getting updated and these are mainly done by the uses of machine learning. Similarly, varieties of malware are detected and these are detected mainly by the system security programs that are mainly helped by machine learning only.  Search Engine- Search engine use variety of machine learning algorithms to response user queries.