Description: Intelligent System: An Introduction to Artificial Intelligence and Machine Learning provides a foundational understanding of how machines can simulate human intelligence and learn from data. It introduces key concepts of Artificial Intelligence and Machine Learning, including problem-solving, reasoning, knowledge representation, and decision-making.
The subject covers various techniques such as supervised and unsupervised learning, neural networks, natural language processing, and computer vision. It also explores real-world applications like chatbots, recommendation systems, robotics, and predictive analytics. By integrating theory with practical insights, this introduction helps learners understand how intelligent systems are designed and applied across different domains, shaping the future of technology.