A Study of Machine Learning Techniques on Clustering, Classification and Regression

ABSTRACT:

Machine learning is predominantly an area of Artificial Intelligence that has been a key component of digitalization solutions that has caught major attention in the digital arena. In this application, we intend to do a brief review of various machine learning algorithms which are most frequently used and therefore are the most popular ones. The author intends to highlight the merits and demerits of the machine learning algorithms from their application perspective to aid in informed decision-making towards selecting the appropriate learning algorithm to meet the specific requirement of the application.

Keywords—Gradient Descent, Logistic Regression, Support Vector Machine, K Nearest Neighbor, Decision Tree, Naïve Bayes, Random Forest, Linear Regression.