Название: Applied Intelligence for Industry 4.0
Автор: Nazmul Siddique, Mohammad Shamsul Arefin, M. Shamim Kaiser
Издательство: CRC Press
Год: 2023
Страниц: 279
Язык: английский
Формат: pdf (true)
Размер: 24.9 MB
We are all aware that Artificial Intelligence (AI) has brought a change in our lives, driven by a new form of interaction between man and machine. We are in the era of the fourth Industrial Revolution (IR) where AI plays vital roles in human development by enabling extraordinary technological advances making fundamental changes to the way we live, work and relate to one another. It is an opportunity to help everyone, including leaders, policymakers and people from all income groups and nations, to harness converging technologies in order to create an inclusive, human-centered future. Analyzing the IT Job Market and Classifying IT Jobs Using Machine Learning Algorithms: Machine Learning (ML) algorithms are used to classify analogous jobs. Convolutional Networks (CNNs) have been used to establish job classification systems based on job requirement text. Several ML approaches such as Gradient Boosting, Logistic Regression, Gaussian Naive Bayes, Support Vector Machine (SVM), Random Forest, and K-Nearest Neighbors (KNN) have been applied for classifying IT jobs.