Gradient Boosting Machines
Gradient Boosting Machine is like a team of little learners that work together to solve a big problem. Each learner starts with some basic knowledge and tries to improve by focusing on the mistakes made by the previous learners. They keep getting better and better at solving the problem until they reach a good solution. This teamwork approach helps Gradient Boosting Machines to tackle complex tasks effectively by combining the strengths of multiple simple learners.
Tree Based Machine Learning Algorithms
Tree-based algorithms are a fundamental component of machine learning, offering intuitive decision-making processes akin to human reasoning. These algorithms construct decision trees, where each branch represents a decision based on features, ultimately leading to a prediction or classification. By recursively partitioning the feature space, tree-based algorithms provide transparent and interpretable models, making them widely utilized in various applications. In this article, we going to learn the fundamentals of tree based algorithms.