Comparative Analysis of Four Programming Languages for Machine Learning

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Dades bibliogràfiques
Publicat a:	Ingenierie des Systemes d'Information vol. 30, no. 6 (Jun 2025), p. 1437-1446
Autor principal:	Hasan, Alaa Falah
Altres autors:	Saadya, Fahad Jabbar, Firas Saadallah Raheem
Publicat:	International Information and Engineering Technology Association (IIETA)
Matèries:	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
Accés en línia:	Citation/Abstract Full Text - PDF
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Descripció
Resum:	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
Font:	Engineering Database