Answer / Varsha Dubey

Machine Learning (ML) is a field of study that focuses on enabling computers to learn from data, without being explicitly programmed. It involves developing algorithms and models that can make predictions or decisions based on patterns in the data.nnThere are two main types of machine learning: Supervised and Unsupervised Learning.nSupervised Learning learns from labeled data, where both input (x) and output (y) variables are provided. The algorithm is trained to map inputs to outputs using a loss function that minimizes the difference between predicted and actual outputs.nExamples include linear regression, logistic regression, support vector machines (SVM), and decision trees.nnUnsupervised Learning works with unlabeled data, where only input variables are provided. The goal is to find hidden patterns or structures in the data without any predefined output variable.nClustering and dimensionality reduction are common tasks in unsupervised learning.

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