MACHINE LEARNING AND DEEP LEARNING FOR MULTIPLE DOMAINS

Abstract

Abstract: Artificial intelligence is starting to be used in engineering and experimental research, much like statistics and mathematics. The three pillars of data science—deep learning, machine learning, and artificial intelligence—are fast gaining ground among academics. This paper explains the link between these data science fundamentals. Machine learning is necessary for any form of analysis. A first-hand description of machine learning is presented in this article. Additionally, it highlights deep learning. Deep learning is sometimes referred to as the "new trend in machine learning." An overview of the basic architecture of Deep Learning is given in this article. A comparative examination of deep learning and machine learning is also included in the paper, providing researchers with a broad overview of both methodologies and assisting them in determining which would be the most appropriate choice in a given circumstance.