Synthesis Lectures on Computer Vision

Hands-On Machine Learning with Scikit-Learn and PyTorch

Concepts, Tools, and Techniques to Build Intelligent Systems

Mathematics for Machine Learning

Data Science on AWS

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

Practical Machine Learning for Computer Vision

End-to-End Machine Learning for Images

Artificial Intelligence and Risk Analysis in Projects

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

Superhuman

Beyond the Limits of Our Intelligence

Modern Computing

Principles and Paradigms

Sustainable UAV Ecosystems

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

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

AI for Human-Computer Interaction

AI for Everything

Deep Learning

Principles and Implementations

Quantum Machine Learning

Theory, Algorithms, and Practical Implementation

Artificial Intelligence

Foundations, Ethics, and Real-World Applications

Brain-Inspired AI for Sustainable Development

Knowledge-based Engineering for Innovation

Machine Learning: Code First

An Experiment-First Guide for Programmers

The Aesthetics of Machine Vision

Critical Terms and Ideas

Deep Learning with R, Third Edition

Tiny ML

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

Robotic Vision and Virtual Interfacings

Seeing, Sensing, Shaping

Cinema and Machine Vision

Artificial Intelligence, Aesthetics and Spectatorship