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Home TOP 10

Interesting Books To Read On Artificial Intelligence For Tech Enthusiasts

August 3, 2021
Artificial-Intelligence

There’s so much to know about artificial intelligence.
Artificial intelligence has made its place in all our lives, from correcting our bad grammar, personalizing our music on apps, to automating work in several industries. AI holds a massive potential to transform the future of work. But to understand this disruptive technology, the general public needs to have a working knowledge of the capabilities. To start slow and avoid the feeling of being overwhelming, here are 10 books that will help you grasp the concept.

  1. Artificial Intelligence – A Modern Approach
    This book is beginner-friendly and gives a less technical overview of several AI topics. The writing is simple and the explanation is quite straightforward. The topics covered include search algorithms, game theory, multi-agent systems, NLP, and many more.
  2. Machine Learning for Dummies
    Now, if you’re a student and an aspiring AI engineer, grab onto this book. Machine Learning for Dummies is a gateway for anyone who wants to understand machine learning. It covers all the basic topics and explains how they are applied in the real world. Its usefulness is explained through internet ads, web searches, fraud detection, and robotics.
  3. Superintelligence: Paths, Dangers, and Strategies
    This book comes as a recommendation from Elon Musk and Bill Gates. Superintelligence touches the concept of unknown AI. The author of this book is a Swedish-born philosopher and polymath, Nick Bostrom. His background and experience in computational neuroscience and AI set the tone for this book.
  4. Life 3.0
    This AI book inspires readers to deep dive into AI. Life 3.0 covers the larger issues of artificial intelligence, ranging from a superintelligence, physical limits of AI, and machine consciousness, along with automation and the ethical concern with AI.
  5. The Singularity is Near
    Ray Kurzweil, the author of this book, was called “the restless genius” by the Wall Street Journal. He is an inventor, thinker, and futurist who believes in the power of artificial intelligence. In this book, he touches on the topic of singularity and the union of humans and machines.
  6. The Sentient machine
    Amir Husain is a computer scientist and the author of this book. Through this book, he urges readers to think about the societal norms and assumptions of a “good life”. He highlights the start of a new kind of intellectual diversity that comes with artificial intelligence. He explains how AI will help humans create a better tomorrow.
  7. The Society of Mind
    The Society of Mind portrays the mind as a society of tiny components. If you have some knowledge about AI and work with its capabilities, this book written by the co-founder of the AI Laboratory at MIT, Marvin Minsky, explores AI and how the human mind works in the age of AI.
  8. Human Compatible – Artificial Intelligence and the Problem of Control
    This book is an optimistic and gentle take on how humanity is adjusting to the new world that is being driven by AI. The author of the book, an AI researcher Stuart Russell also talks about the need for rebuilding AI in a way that benefits both machines and humans.
  9. Artificial Intelligence: A Modern Approach
    This book has been used by over 1200 universities and is also one of the most cited publications. This book discusses the important applications of AI, like the growing popularity of speech recognition, machine translation, self-driving cars, and robotics. This top AI book has detailed information on critical concepts that will help you advance your career, too.
  10. Machine Learning – The New AI
    Written by Ethem Aplaydin, this book gives an overview of machine learning which powers applications that we use in our daily lives, like recommendation systems, face recognition, and autonomous cars. Written for a general reader, the author describes the evolution, explaining important learning algorithms, and citing examples.

Source: analyticsinsight.net

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