Author(s): Kalyani Raval¹, Om Upendrabhai Vadiya²

Abstract:

Machine Learning (ML) is one of the most important branches of Artificial Intelligence that enables computer systems to learn from data and improve performance without being explicitly programmed. In recent years, machine learning techniques have been widely used in various real-world applications such as healthcare, finance, education, e-commerce, and cybersecurity. This research paper aims to study different machine learning techniques and analyze their practical applications in real-life scenarios. The paper also highlights how machine learning is transforming industries and creating new opportunities for computer science students, especially at the undergraduate level.

Keywords:

Machine Learning, Artificial Intelligence, Supervised Learning, Unsupervised Learning, Real-World Applications.

DOI: Available on auithor(s) request

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Machine Learning Techniques and their Real-World Applications

Pages:29-32