TY - JOUR AU - Muddham Nirmala, RekhaGangula,ChinnakkaSudha, ShashiRekha, PY - 2020/03/19 Y2 - 2024/03/29 TI - A CONCEPTUAL FRAMEWORK FOR UNDERSTANDING THE ROLE OF MACHINE LEARNING IN ARTIFICIAL INTELLIGENCE JF - International Journal of Advanced Science and Technology JA - IJAST VL - 29 IS - 4s SE - Articles DO - UR - http://sersc.org/journals/index.php/IJAST/article/view/6531 SP - 820 - 825 AB - "Machine learning" and "Artificial intelligence" has become prominent within the last decade. Both terms are frequently made use of in science and media, occasionally mutually, often with different significances. In this job, we intend to make clear the connection in between these terms and, particularly, to define the payment of machine learning to artificial intelligence. Presently, there is an alarming need for a write-up that provides an alternative literature study of worldwide, academic frameworks as well as functional experiences in the field of artificial intelligence. This paper reports the state-of- the-art on expert system in an integrated, succinct, as well as elegantly distilled manner to reveal the experiences in the field. ER -