Machine learning is a rapidly growing field that has revolutionized the way we approach complex problems in various domains such as image and speech recognition, natural language processing, autonomous vehicles, and healthcare. The ability of machines to learn from data and make predictions or decisions based on that data has enabled us to solve problems that were previously thought to be impossible or impractical to solve.
This book is written with the goal of making machine learning accessible to a broad audience, including students, researchers, and practitioners from a range of fields, including computer science, engineering, mathematics, statistics, and the natural and social sciences. The book assumes only a basic familiarity with mathematics and programming, making it suitable for self-study or as a textbook for undergraduate or graduate courses in machine learning.
I hope that this book will inspire readers to explore the exciting field of machine learning, and provide them with the knowledge and tools necessary to tackle real-world problems with confidence and creativity.
Enjoy the journey!
