A Modern Approach, Global Edition
Ah, Artificial Intelligence: A Modern Approach, the towering textbook that’s been both the bane and the bible of AI students for decades, is back and smarter than ever.
This long-awaited update to the classic by Russell and Norvig isn’t just a gentle refresh. It’s a full-scale overhaul designed for the deep learning era, with enough new material to surprise even the most seasoned AI veterans.
So what’s under the hood of this new edition?
For starters, the 4th Edition keeps pace with the rapid evolution of the AI landscape, introducing cutting-edge topics that would have sounded like science fiction in the previous edition. Expanded chapters on machine learning, deep learning, and transfer learning walk readers through the journey from foundational concepts to state-of-the-art approaches.
But that’s only the beginning.
This revision also explores multi-agent systems, natural language processing, and probabilistic programming. It doesn’t shy away from the big questions either. The book tackles issues of causality, fairness, privacy, and safety in AI – essential topics in a world where algorithms are influencing real-world decisions more than ever.
As always, Russell and Norvig strike a rare balance between theory and practice. Whether you’re an undergraduate learning A* search for the first time or a graduate student wrangling with a neural net that insists muffins are chihuahuas, this book offers clarity, depth, and insight.
From robotics to reinforcement learning, from logic to ethics, this textbook continues to be the most comprehensive resource in the field. Whether you’re building machines, crafting policy, or simply trying to understand how Siri knows so much, Artificial Intelligence: A Modern Approach remains the gold standard.
This edition isn’t just an update. It’s a reinvention. Welcome to AI, modernized and reimagined for today’s world.