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Comparative Analysis of Four Programming Languages for Machine Learning

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Publicado en:Ingenierie des Systemes d'Information vol. 30, no. 6 (Jun 2025), p. 1437-1446
Autor principal: Hasan, Alaa Falah
Otros Autores: Saadya, Fahad Jabbar, Firas Saadallah Raheem
Publicado:
International Information and Engineering Technology Association (IIETA)
Materias:
Object oriented programming
Comparative studies
Machine learning
Software
Java
Programming languages
Embedded systems
Visual Basic
Artificial intelligence
C plus plus
C++ (programming language)
Python
Software engineering
Sanitation services
Visual programming languages
Libraries
HyperText Markup Language
Polymorphism
Linux
Acceso en línea:Citation/Abstract
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Resumen: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.
ISSN:1633-1311
2116-7125
1290-2926
DOI:10.18280/isi.300603
Fuente:Engineering Database