Artificial Intelligence (AI) or Machine Learning (ML) systems have been widely adopted as
value propositions by companies in all industries in order to create or extend the services and …

… with the focus on methods that use AI and machine learning. The purpose of the survey is to
… The key challenges in the application of artificial intelligence and machine learning to fraud …

… , and properly matching the machine learning model to the target … using a case study of
machine learning applied to the diagnosis … the use of machine learning and artificial intelligence. …

… analytics, machine learning (ML), and artificial intelligence. … , artificial intelligence in
making the system intelligent regarding … analytics, ML, and artificial intelligence in the nextgeneration …

… deep learning (DL) are all important technologies in the field of robotics [1]. The term artificial
intelligence (AI) describes a machine's … A branch of AI known as "machine learning" uses …

… of machine learning and its subfields of supervised learning, unsupervised learning,
reinforcement learning and deep learning… We provide an overview of current machine learning …

Over the past decade, artificial intelligence (AI) and machine learning (ML) have become
the breakthrough technology most anticipated to have a transformative effect on …

… is to build a predictive machine learning model for the detection … technique in machine
learning and artificial intelligence, which … Hence, using machine learning and artificial techniques …

… The area of artificial intelligence and machine learning has … Also, most of the concepts in
machine learning are deeply … in machine learning and their applications to build artificially …

… Due to the advent of big data and efficient computational resources, artificial intelligence (AI)
and machine learning (ML) have seen massive growth in recent years. Informatics degree …