Abstract: A modern day fast-paced, global business surroundings, coupled with the ever growing problem of a rapidly changing labor force, requires a well-planned, rigorous method of talent management. Fortunately, each HR and business frontrunners recognize that talent is an essential driver of business overall performance. It comes as no surprise after that that talent management methods are often cited as an important strategic priority. However, the actual execution of these practices is actually where companies often are unsuccessful. Thus this paper focuses on developing an efficient algorithm to overcome challenges faced by a human resource manager and segregate effective new talents from the rest.
Keywords: Na´ve Bayes, Talent Acquisition, Machine Learning.