Machine Learning Tools are software applications and frameworks that help developers create, train, and deploy machine learning models. These tools simplify the process of analyzing data, allowing users to build algorithms that can learn from and make predictions based on that data. Popular examples include TensorFlow, PyTorch, and scikit-learn. These tools often come with built-in functions for data preprocessing, model evaluation, and visualization, making it easier for users to understand their results. They can be used in various fields, such as healthcare, finance, and marketing, to automate tasks and gain insights from large datasets.