Abstract: Employee attrition is a costly problem for organizations, leading to loss of institutional knowledge, reduced productivity, and increased recruitment expenses. Machine learning offers a ...
This research initiative highlights the importance of ethical and explainable artificial intelligence in workforce ...
OpenAI has fired an employee over the employee’s activity on prediction markets, including Polymarket, the company confirmed to Wired. The employee used confidential OpenAI information in connection ...
Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global population. It is characterized by a persistent low mood, disruptions in typical ...
ABSTRACT: One major issue influencing organizational success in all sectors of the world is high staff turnover. The intricate connections between organizational outcomes, turnover causes, and ...
In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.
Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...
Developed an employee attrition prediction model using HR Analytics data(74,498 rows). Implemented XGBoost with optimized settings, achieving high accuracy. Presented findings with insights on model ...
Production-ready HR Analytics platform with cost-optimized ML to predict employee job changes. 6 ensemble models, SHAP explainability, interactive Streamlit dashboard, and FastAPI deployment. 79.7% ...
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