Supervised and Unsupervised Learning In Machine Learning | Machine Learning Tutorial | Simplilearn

This document provides an overview of machine learning, including: - Machine learning allows computers to learn from data without being explicitly programmed, through processes like analyzing data, training models on past data, and making predictions. - The main types of machine learning are supervised learning, which uses labeled training data to predict outputs, and unsupervised learning, which finds patterns in unlabeled data. - Common supervised learning tasks include classification (like spam filtering) and regression (like weather prediction). Unsupervised learning includes clustering, like customer segmentation, and association, like market basket analysis. - Supervised and unsupervised learning are used in many areas like risk assessment, image classification, fraud detection, customer analytics, and moreRead less