INTRODUCTION TO AI & MACHINE LEARNING ?Introduction to AI and Machine Learning? is a comprehensive guide designed for readers who are new to the fields of artificial intelligence (AI) and machine learning (ML) The book aims to demystify these valuable insights for those with some foundation Knowledge. This book is ideal for students and educators seeking a thorough introduction to AI and ML. By the end of the book, readers will have a solid understanding of the fundamental concepts of AI and ML and will be able to write basic AI and ML programs using python. KEY FEATURES OF THE BOOK 1. Simple Language: Utilizes straightforward and easily understandable language throughout the text. 2. Engaging Learning Experience: Incorporates hands -on activities to enhance the learning experience. 3. Foundational Concepts: Introduces AI and ML, covering weak vs. strong AI, machine learning methods (supervised, unsupervised and reinforcement learning), and optimization techniques. 4. Search Algorithms: Discusses Problem- solving strategies such as BFS, DFS, and A*, with illustrations from examples like the water jug and 8- queen problems. 5. Practical Applications: Highlights real- world applications across various industries, supported by case studies and examples. 6. Hands on Approach: Offers practical exercises and coding examples using python for a better understanding of the subject.