Several tools and techniques are commonly employed in data driven optimization: - Machine Learning: Algorithms such as neural networks, decision trees, and support vector machines to create predictive models. - Data Mining: Techniques to discover patterns and relationships within large datasets. - Statistical Analysis: Methods to analyze data and quantify uncertainties. - Optimization Algorithms: Techniques like genetic algorithms and gradient descent to find the best solutions.
