Enterprises and institutions seek to enhance efficiency and outcomes through machine learning (ML). This paper explores ML’s application in optimization, emphasizing problem definition, data accumulation, feature engineering, model selection, training, evaluation, optimization, deployment, and monitoring. ML provides data-driven insights revolutionizing decision-making and operations, driving innovation and adaptation to market dynamics.… Read More Machine Learning and AI for Developing Business Strategies and Real-world Use Cases