Neural Networks

The Master Algorithm (How the Quest for the Ultimate Learning Machine Will Remake Our World)

Build AI-Enhanced Audio Plugins with C++

How Deep Learning Works (An Experiment-First Guide for Programmers)

Human-Centered AI (A Multidisciplinary Perspective for Policy-Makers, Auditors, and Users)

Networks (A Very Short Introduction)

Multi-Agent Reinforcement Learning (Foundations and Modern Approaches)

How AI Works (From Sorcery to Science)

Gradient Expectations (Structure, Origins, and Synthesis of Predictive Neural Networks)

Learning Kernel Classifiers (Theory and Algorithms)

The Cortex and the Critical Point (Understanding the Power of Emergence)

Math for Deep Learning (What You Need to Know to Understand Neural Networks)

Deep Learning

Signals and Boundaries (Building Blocks for Complex Adaptive Systems)

Verifying Cyber-Physical Systems (A Path to Safe Autonomy)

The Master Algorithm (How the Quest for the Ultimate Learning Machine Will Remake Our World)

Build AI-Enhanced Audio Plugins with C++

How Deep Learning Works (An Experiment-First Guide for Programmers)

Human-Centered AI (A Multidisciplinary Perspective for Policy-Makers, Auditors, and Users)

Networks (A Very Short Introduction)

Multi-Agent Reinforcement Learning (Foundations and Modern Approaches)

How AI Works (From Sorcery to Science)

Gradient Expectations (Structure, Origins, and Synthesis of Predictive Neural Networks)

Learning Kernel Classifiers (Theory and Algorithms)

The Cortex and the Critical Point (Understanding the Power of Emergence)

Math for Deep Learning (What You Need to Know to Understand Neural Networks)

Deep Learning

Signals and Boundaries (Building Blocks for Complex Adaptive Systems)

Verifying Cyber-Physical Systems (A Path to Safe Autonomy)