Automated Machine Learning: Methods, Systems, Challenges (The Springer Series on Challenges in Machine Learning)
AI Machine Vision
Handbook of Machine and Computer Vision: The Guide for Developers and Users
Digital Imaging and Communications in Medicine (DICOM): A Practical Introduction and Survival Guide
Why Machines Learn: The Elegant Math Behind Modern AI
The Python Bible 7 in 1: Volumes One To Seven (Beginner, Intermediate, Data Science, Machine Learning, Finance, Neural Networks, Computer Vision)
Pattern Recognition and Machine Learning
Mapping and Visualization with SuperCollider
Applied Deep Learning and Edge AI with C++ : Building Intelligent Systems for Vision, NLP, and Embedded Platforms (Machine Learning with Modern C++ Series Book 3)
