What are Machine Learning algorithms?
Summary : Machine learning algorithms let computers learn from data to make predictions and discover patterns. This post explains the main algorithm types, the typical workflow, and how to choose the right approach for your problem. What Are Machine Learning Algorithms? Machine learning algorithms are sets of procedures a computer follows to learn from data. Instead of being explicitly programmed for every scenario, these algorithms identify patterns, make predictions, and improve as they see more data. The goal is to build models that generalize from past examples to new, unseen situations. 1. Supervised Learning In supervised learning, the training data includes inputs and the correct outputs, known as labels. The algorithm learns a mapping from inputs to outputs so it can predict labels for new examples. Examples : Linear regression — predicts continuous values, such as house prices. Logistic regression and support vector machines — common for classification task...