Approaches and Frameworks for Artificial Intelligence

Abstract

In the modern computer world, machine learning is one of the fields. There has been a lot of work undertaken to make machines intelligent. Learning is a natural human behavior that has also made the machines an essential aspect. There are different techniques for the same thing. Many implementations include mainstream machine learning algorithms. Scientists have made several attempts to boost the performance of these algorithms. There was a different dimension which leads to an in-depth concept of learning. Deep learning is an implicit form of research. To date, few implementations of deep learning have been developed. This can deal with challenges in many modern systems, sub-domains that use deep learning. This paper provides a study of past and prospective areas of research, sub-domains, and implementations in artificial learning and profound learning.