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Recent Trends in Mathematics Review Article

An Analytical Review of Machine Learning Methodologies

  1. Nitin S. Shrirao Department of Computer Application, Siddhant Institute of Computer Application, Pune
  2. Sarita B. Patil Department of Computer Application, Siddhant Institute of Computer Application, Pune
  3. Dnyaneshwar S. Jadhav Department of Computer Application, Siddhant Institute of Computer Application, Pune

Abstract

Machine Learning (ML) is a dynamic and rapidly developing area of computer science that enables the system to learn from data and improve its performance without clear programs. Rooted in statistical theory and computer algorithms, ML has become a major technology that progresses in artificial intelligence. It strengthens the detection of the recommendations and speech for extensive applications from autonomous vehicles and medical diagnoses. This paper has reviewed the basics of machine learning, including its historical development, major algorithms and major applications. The evolution of machine learning, which includes deep learning and neural networks, begins with the basic theory of the theorem and the minimum square method, significantly contributed to by pioneers such as Allen Turing and Arthur Samuel. While the machine is shaping the learning industries and affecting daily life, it is important to understand its main principles and paths to navigate the future of intelligent systems.

Keywords

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