This book provides an introduction to Machine Learning and its related concepts and techniques. It has been written with an emphasis on practical applications and the methods used to solve real-world problems. It is a case-based approach and begins with an introduction to the field of Machine Learning, followed by descriptions of various related concepts and algorithms. After that, it thoroughly works through worked examples on how they can be applied. This book is designed to offer an appropriate level of technical detail for practitioners as well as academics, and assumes no prior knowledge or experience with Machine Learning. The goal is to teach readers the concepts of Machine Learning in a practical way.

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