Augmented Environments for Computer-Assisted Interventions

How to See Like a Machine

Images After AI

Mathematics for Machine Learning

Practical Machine Learning for Computer Vision

End-to-End Machine Learning for Images

Data Science on AWS

Implementing End-To-End, Continuous AI and Machine Learning Pipelines

Hands-On Machine Learning with Scikit-Learn and PyTorch

Concepts, Tools, and Techniques to Build Intelligent Systems

Superhuman

Beyond the Limits of Our Intelligence

Sustainable UAV Ecosystems

Integrating Blockchain, Quantum, and AI for Smart Mobility and SDG Innovation

Orthorectification of High-Resolution Remotely Sensed Images

Reinforcement Learning in Action

From Foundations to Frontier AI

Reinforcement Learning in Action

From Foundations to Frontier AI

Practical Applications of Artificial Intelligence in Education

For Early Childhood Education, Primary, Secondary, Baccalaureate and Vocational Training

AI for Human-Computer Interaction

AI for Everything

Deep Learning

Principles and Implementations

Quantum Machine Learning

Theory, Algorithms, and Practical Implementation

Brain-Inspired AI for Sustainable Development

Knowledge-based Engineering for Innovation

Artificial Intelligence

Foundations, Ethics, and Real-World Applications

Machine Learning for Time Series with Python - Second Edition

Python to forecast, predict, and monitor time series with modern ML and foundation models at scale

Artificial Intelligence and Risk Analysis in Projects

Deep Learning with R, Third Edition

Cinema and Machine Vision

Artificial Intelligence, Aesthetics and Spectatorship

Superagency

What Could Possibly Go Right with Our AI Future

Computer Vision and Machine Intelligence for Renewable Energy Systems

Advances in Intelligent Energy Systems

Tiny ML

Machine Learning with Tensorflow Lite on Arduino and Ultra-Low-Power Microcontrollers

Learning OpenCV 3

Computer Vision in C++ with the OpenCV Library