Artificial intelligence and Machine Learning for Real-world problems (A survey)

Javid Ghahremani Nahr (), Hamed Nozari () and Mohammad Ebrahim Sadeghi ()

International Journal of Innovation in Engineering, 2021, vol. 1, issue 3, 38-47

Abstract: Today, the use of machine learning and artificial intelligence due to many advantages such as simplicity, high speed, high accuracy in predicting various processes, no need for complex equipment and tools and the availability of many applications in science and fields. Has found various including statistics, mathematics, physics, chemistry, biochemistry, materials engineering, medical engineering, pharmacy and etc. Therefore, in the present era, the study and study of various methods and algorithms of machine learning and artificial intelligence is very important. As a subset of artificial intelligence, machine learning algorithms create mathematical models based on sample data or training data for unpredictable prediction or decision making. One of the most interesting topics that can be focused on with artificial intelligence is predicting and estimating future events. Machine learning provides machines with the ability to learn independently. In other words, the machine can learn from the experiences, observations, and patterns it analyzes based on a set of data. In this regard, the chapter, with the aim of introducing machine learning and artificial intelligence, deals with their application in managing and analyzing the processes of economic systems in real conditions.

Keywords: Artificial intelligence; machine learning; deep learning; neural networks (search for similar items in EconPapers)
Date: 2021
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