Machine Learning Approach in Human Resources Department

Abstract

Artificial intelligence is one of the essential innovations made by scientists to simplify people's life. It allows intelligent computers to imitate human behaviors to accomplish specific tasks. Machine learning is a branch of artificial intelligence in which devices can learn from existing data to predict new output values. Machine learning is used in different domains, including human resources management. This chapter presents an application of machine learning in the human resources department. Machine-learning techniques help select the most suitable candidate for a job vacancy during recruitment stages based on different factors. Factors could include educational level, age, and previous experience. Based on these factors, a decision system is built using the binary classification method. The results show the effectiveness of this method in selecting the best candidate for a job vacancy, revealing the flexibility of the approach in making appropriate decisions. In addition, obtained results are accurate and independent of the dataset imprecision.