Here is a list of the Must-Read Books About Artificial Intelligence
Here is a list of the must-Read Books About Artificial Intelligence
Not too many years ago, the phrase “Artificial Intelligence” sounded fanciful or in some contexts scary. However, it’s now a common tool with a myriad of everyday uses, many of which you’ve interacted with already.
Common AI uses include online advertising, search engines, digital assistants like Siri and Alexa, and smart home technologies. If you have a smartphone and use Google, or own a Google Home or Alexa and ask it daily questions, then you’re interacting with AI.
With its huge effects on our daily life, there’s a growing interest in learning more about AI and how it works. This is why we compiled this list of books to support your curiosity—whether you’re a beginner with limited technical knowledge or an AI expert.
“Artificial Intelligence: A Modern Approach” by Stuart Russell and Peter Norvig:
This book provides a comprehensive introduction to AI, covering a wide range of topics including search, logic, planning, Machine Learning, and Natural Language processing.
“Deep Learning” by Ian Goodfellow, Yoshua Bengio, and Aaron Courville:
This book is a comprehensive introduction to Deep Learning, which has been a driving force behind many of the recent advances in AI.
“Superintelligence: Paths, Dangers, and Strategies” by Nick Bostrom:
This book discusses the potential future development of superintelligent AI and its potential risks and benefits.
“The Singularity Trap” by Federico Pistono:
This book examines the potential risks and challenges associated with the development of Artificial Intelligence, including the possibility of a technological singularity.
“Our Final Invention: Artificial Intelligence and the End of the Human Era” by James Barrat:
This book explores the potential consequences of the development of superintelligent AI, including the possibility of humans being superseded by machines.
“The Master Algorithm” by Pedro Domingos:
This book discusses the various approaches to Machine Learning and the quest to find a “Master Algorithm” that could solve all problems.
“Intelligence Unbound: The Future of Uploaded and Machine Minds” by Russell Blackford and Damien Broderick:
This book discusses the possibility of uploading human consciousness into machines and the ethical and philosophical implications of this development.
“The Age of Spiritual Machines” by Ray Kurzweil:
This book discusses the future of Artificial Intelligence and its potential to transform society and the way we live.
“How to build your career in AI” by Andrew Ng:
This book provides insights from AI pioneer Andrew Ng about learning foundational skills, working on projects, finding jobs, and community in Machine Learning
Don’t forget to share this list with your friends!
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