Abstract:
Talent management is the process of identifying the vacant
position, recruiting the suitable person, developing the skills and
expertise of the person to make the person more suitable for the
position and retaining him to achieve long term business
objectives of the institution. The purpose of this research was to
develop a machine learning model for talent recruitment and
management for use in human resource department. The
research therefore proposes a human resource Ensemble neural
network model for use in talent recruitment and management
for employee development and retention. The model developed
attained a predictive accuracy of 95.313% and this showed that
machine learning models can be used successively for talent
recruitment in human resource department. The study explores
literature review on neural network and how it has been used
which gives the basis of this study.
