Fundamentals of Machine Learning and Artificial Intelligence

Overview

This foundational course introduces the key concepts, theories, and algorithms underpinning machine learning (ML) and artificial intelligence (AI). You will explore the differences between supervised, unsupervised, and reinforcement learning, and learn how AI systems mimic human cognition through pattern recognition and decision-making processes. The course covers fundamental algorithms such as linear regression, decision trees, neural networks, and clustering methods, with practical examples demonstrating their applications. You will also gain an understanding of AI ethics, biases, and the societal impacts of...