Practical resource on the importance of Machine Learning and Deep Learning applications in various technologies and real-world situations. Machine Learning Applications discusses methodological advancements of Machine Learning and Deep Learning, presents applications in image processing, including face and vehicle detection, image classification, object detection, image segmentation, and delivers real-world applications in healthcare to identify diseases and diagnosis, such as creating smart health records and medical imaging diagnosis, and provides real-world examples, case studies, use cases, and techniques to enable the reader’s active learning. In our rapidly evolving world, the transformative power of Machine Learning (ML) and Deep Learning (DL) technologies is undeniable. From robotics and vehicle automation to financial services, retail, manufacturing, healthcare, and beyond, ML and DL are revolutionizing industries and driving improvements in business operations. The potential of these advanced technologies to enhance our lives and reshape our future is immense. With its practical approach to the subject, Machine Learning Applications is an ideal resource for professionals working with smart technologies such as Machine Learning and Deep Learning, AI, IoT, and other wireless communications; it is also highly suitable for professionals working in robotics, computer vision, cyber security and more.