The Emergence of AI through Machine learning and Data Science

Abstract

Machine learning is to make a computer smart enough to analyze a state/situation without human intervention. This is a scientific process of enabling computers to think, listen/see and act/react without being explicitly programmed. Whereas Data science is a multi-disciplinary field that uses scientific methods, algorithms, processes, and systems to extract insights and knowledge from structured and unstructured data. These two concepts have impacted the industry in a very positive manner. Artificial Intelligence is the process to teach the machines to do multiple user actions. In this paper, we will discuss different emergence techniques of AI with the help of Machine learning and data science. This paper also elaborates on different techniques used in Machine learning as well as the relationship between Data Science and Machine Learning. It shows the role of data science in AI. This study reviews how technology changes from a traditional approach to machine learning approach with the rise of machine learning techniques, methods, and algorithms, applications in businesses. This paper emphasis on Machine learning and Data sciences concepts which improved the area of Artificial Intelligence. Keywords: AI, Programming Approach, Machine Learning, Algorithms, Natural Language processing, supervised learning; unsupervised learning; reinforcement learning.