We use a variety of machine learning algorithms based on the problem at hand, including supervised learning algorithms (like decision trees, linear regression, and neural networks), unsupervised learning algorithms (like K-means clustering), and reinforcement learning algorithms. We choose the most appropriate algorithm to deliver optimal results for each unique use case.