Machine Learning in the human resources industry refers to the application of advanced algorithms and statistical models to analyze and predict HR-related data. It involves the use of computer systems that can learn from data, recognize patterns, and make data-driven decisions without being explicitly programmed. In HR, machine learning is utilized for tasks such as candidate screening, employee performance prediction, and workforce planning.

Examples

• Candidate Screening: Machine learning algorithms can be employed to automatically sift through large volumes of job applications, identifying the most qualified candidates based on predefined criteria, such as qualifications and experience.
• Employee Turnover Prediction: Machine learning models can analyze historical data to predict which employees are at a higher risk of leaving the company, allowing HR to take proactive retention measures.
• Skills Gap Analysis: By analyzing employee skills and training data, machine learning can help HR identify skill gaps within the organization and recommend targeted training programs to bridge those gaps.