Preface
Welcome to Active Learning with Python a comprehensive guide designed to introduce you to the power of active machine learning. This book is written with the conviction that while data is plentiful, its quality and relevance hold the key to building models that are not only efficient but also robust and insightful.
Active machine learning is a method used in machine learning where the algorithm can query an oracle to label new data points with the desired outputs. It stands at the crossroads of optimization and human-computer interaction, enabling machines to learn more effectively with less data. This is particularly valuable in scenarios where data labeling is costly, time-consuming, or requires expert knowledge.
Throughout this book, we leverage Python, a leading programming language in the field of data science and machine learning, known for its simplicity and powerful libraries. Python serves as an excellent medium for exploring the concepts of active machine learning, providing both beginners and experienced practitioners with the tools needed to implement sophisticated models.
