AN OVERVIEW OF MACHINE LEARNING: KEY CONCEPTS, METHODS, APPLICATIONS, AND THE ROLE OF PROGRAMMING LANGUAGES IN ADVANCING AI

Abstract: Machine Learning is the field that combines both art and science, allowing machines to acquire knowledge without needing explicit programming. It integrates mathematics and computer science in a balanced way. Many people are often discouraged by the complex mathematical equations and theories that are part of machine learning. The last year has been particularly fruitful for AI and Machine Learning, with numerous groundbreaking applications emerging, especially in areas like healthcare, finance, speech recognition, augmented reality, and advanced 3D and video technologies. In the field of machine learning, programming languages ranging from Python to SQL are commonly utilized. This paper explores the concept of machine learning, its various types, and how it functions. It also delves into the key components of machine learning and provides an overview of the methods currently in use, along with their processes, applications, benefits, and limitations. Additionally, we highlight the top seven programming languages used in machine learning and discuss the companies that are leveraging machine learning technologies.

Keywords: ML algorithms, machine learning (ML), and traditional programming.