The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence.
This approachable text teaches all the concepts, the context, and the code needed to understand deep learning. Suitable for students and professionals, the book doesn't require... Læs mere
A guide to understanding the inner workings and outer limits of technology and why we should never assume that computers always get it right.
An eye-opening journey into the inner workings of human and artificial minds from two leading experts in cognitive and psychological science.
Driven by the rapid advances in deep learning, language AI systems are able to write and understand text better than ever before.... Læs mere
This practical guide provides a collection of techniques and best practices that are generally overlooked in most data engineering... Læs mere
Bridges the gap between AI and neuroscience by telling the story of how the brain came to be. 'I found this book amazing' Daniel Kahneman, Winner of the Nobel Prize in Economics and bestselling author of Thinking Fast & Slow
To succeed in data science you need some math proficiency. But not just any math. This common-sense guide provides a clear, plain English survey of the math you'll need... Læs mere
Using hands-on examples, this practical book shows data scientists and data practitioners how to build their own custom knowledge graphs. Authors Jesus Barrasa and Jim Webber... Læs mere
Machines That Think explores how artificial intelligence helps us understand human intelligence, machines that compose music and write stories - and asks if AI is really a threat.