Improving Machine Leaming Accuracy using Data Augmentation in Recruitment Recommendation Process

Socio-economic and technological developments have changed the way companies manage Human Resources. Artificial Intelligence applications, such as Machine Learning (ML), can be applied as a recommendation system or decision-making system used in the recruitment process. The problem is that the dataset available to create this employee classification model is not always large enough. Moreover, the development of an exceptional predictive model in...