About the Book: Practical Machine Learning for Computer Vision by Valliappa Lakshmanan, Martin Görner and Ryan Gillard is a hands-on guide to building machine learning and deep learning models for images. Covering image classification, object detection, image generation, counting and captioning, it takes readers through the complete machine learning workflow—from dataset creation and image preprocessing to model design, training, evaluation, deployment and interpretability. The book also explores TensorFlow, Keras, model selection, responsible AI, edge deployment and production-ready ML architecture. An essential resource for ML engineers, data scientists and developers working with computer vision.