Comparative Analysis of Four Programming Languages for Machine Learning

Abstract

Software engineers often compare programming languages. Several programming languages are designed, specified, and implemented every year in order to accommodate changing programming paradigms, hardware evolution, and other changes. In a comparative study of Python, Visual Basic.Net (VB.NET), C++, and Java, we examine machine learning capabilities of these four programming languages. This field of study focuses on computers that learn from experience and use information to become more efficient. As a general rule, it falls under the realm of computing. The process of machine learning entails analyzing samples of data to develop a model that can make predictions without any explicit programming. ML models and frameworks have evolved into increasingly complex models along with machine learning (ML). A number of emerging technologies are becoming increasingly important as software machine learning advances, such as Python, C++, VB.NET, and Java. Comparing these languages can reveal several characteristics.