Paradigms of Machine Learning - MLT 1.2 (Week1 Chapter2) Quiz

This quiz tests your understanding of the core machine learning paradigms—supervised, unsupervised, and sequential learning—as introduced in the video. It covers key concepts such as the role of labeled data in supervised learning (e.g., classification and regression), pattern discovery without labels in unsupervised learning (e.g., clustering and representation learning), and iterative decision-making with feedback in sequential learning (e.g., online learning and reinforcement learning). The quiz includes questions on specific examples like spam email detection, rainfall prediction, and friend suggestion, as well as the importance of prerequisites like linear algebra, probability, and optimization. Designed to encourage critical thinking, it challenges you to differentiate between paradigms, identify problem types, and understand their applications.