PREFACE

Welcome to the journey into the heart of artificial intelligence and machine learning. This syllabus outlines a comprehensive course designed to equip students with a profound understanding of both theoretical foundations and practical applications of machine learning (ML) and artificial intelligence (AI). Our world is increasingly driven by data and technology, where AI and ML stand at the forefront of innovation, transforming industries, shaping the future of work, and redefining human-computer interaction.

This course, “Cognitive Horizons: Exploring Artificial Intelligence and Machine Learning, ” is structured to unfold in five meticulously curated units, each focusing on different, crucial aspects of AI and ML. From the historical underpinnings of AI to the cutting-edge developments in deep learning, natural language processing, and beyond, we aim to provide a holistic view of the field.

Unit 1 introduces AI’s objectives, types, approaches, and intelligent agents, laying a solid foundation. Unit 2 delves into the basics and advanced concepts of machine learning, including linear regression, classification models, and unsupervised learning. Deep learning takes the stage in Unit 3, exploring neural networks and their applications. Unit 4 examines clustering, reinforcement learning, and case studies in customer classification and telecom churn. Finally, Unit 5 addresses searching and planning, knowledge representation, and reasoning, encompassing the theoretical underpinnings and practical considerations of AI and ML.