• Dr. RAMANA NAGAVELLI

Machine Learning (ML) is a sub-field of Artificial Intelligence (AI) which concerns with developing computational theories of learning and building learning machines. The goal of machine learning, closely coupled with the goal of AI, is to achieve a thorough understanding about the nature of learning process (both human learning and other forms of learning), about the computational aspects of learning behaviors, and to implant the learning capability in computer systems. Machine learning has been recognized as central to the success of Artificial Intelligence, and it has applications in various areas of science, engineering and society. The process of learning begins with observations or data, such as examples, direct experience, or instruction, in order to look for patterns in data and make better decisions in the future based on the examples that we provide. The primary aim is to allow the computers learn automatically without human intervention or assistance and adjust actions accordingly.

Machine Learning, Artificial Intelligence, Learning Tools,

"Machine Learning Approaches to Standard Prediction Rules", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.877-882, June 2019, Available :http://www.jetir.org/papers/JETIR1906X12.pdf

"Machine Learning Approaches to Standard Prediction Rules", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp877-882, June 2019, Available at : http://www.jetir.org/papers/JETIR1906X12.pdf