Practical Machine Learning for Computer Vision

Discover the transformative power of machine learning in visual data with Practical Machine Learning for Computer Vision by Valliappa Lakshmanan. Published in 2021, this comprehensive guide spans 350 pages and is tailored for ML engineers and data scientists eager to harness advanced techniques for image analysis.

In this practical book, you will learn how to implement machine learning models to extract valuable insights from images. Explore a wide range of image-related challenges, including classification, object detection, autoencoders, image generation, counting, and captioning. Each concept is supported by proven ML techniques, making it an essential resource for professionals looking to enhance their skills in computer vision.

Elevate your understanding of machine learning applications in visual data with this insightful and hands-on resource.