This series is essential to meet the growing demand for structured and accessible resources that guide the integration of machine learning (ML) into engineering and technology. The series will provide a comprehensive resource that bridges the gap between theory and practice, making it invaluable for students, researchers, and professionals looking to leverage ML in their work.