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Natural Language Processing (NLP) and Machine Learning (ML) have emerged as transformative forces across various industries, changing the way we interact with technology. They allow us to process vast amounts of data and extract valuable insights from it. The rise of advanced techniques, improved computational power, and extensive datasets has led to the integration of NLP and ML in numerous practical applications, such as conversational AI and autonomous decision-making systems.
 
This book serves as a comprehensive and concise reference guide for NLP and ML, blending theoretical underpinnings with essential techniques for practical application. It is designed for students, researchers, and practitioners who seek to understand the core concepts of these domains in order to address real-world problems. The aim of this book is to provide a well-organized learning experience, enabling readers to acquire the conceptual understanding needed to create intelligent systems.
 
We hope this book will be a beneficial resource for anyone interested in starting or enhancing their journey in NLP and ML. Whether you're a novice keen to understand the basics or a seasoned professional looking to delve into more advanced methods, this book provides valuable insights and information to help you remain at the cutting edge of this fast-changing field.