At MentorCruise, we are all about making the most out of the experience of others. As part of that, we've connected and asked dozens of experts and professionals about their favourite Artificial Intelligence books – and here are the answers.
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Understanding the concepts of Artificial Intelligence starts with understanding the fundamentals. On your way to mastery, it's crucial for you to understand how certain concepts were derived, and why things work like they do. Starting with these resources is the best way to do so.
AI Superpowers by Kai-Fu Lee is a thought-provoking book that explores the future of AI. It highlights the rise of China as an AI powerhouse, the potential job displacement, and how we can navigate the complex ethical implications of this technology.
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“Artificial Intelligence: A Modern Approach” goes beyond the basics and delves into advanced topics in AI. It covers natural language processing, an area concerned with enabling computers to understand and generate human language. The book explores techniques for parsing, semantic analysis, and machine translation.
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The Singularity Is Near' by Ray Kurzweil predicts that exponential growth of technology will result in a singularity, where humans merge with machines to become super intelligent beings. It raises ethical and social implications.
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What is AI 2041 about? AI 2041 (2021) is a provocative work of speculative fiction with analysis that explores the ways in which AI will shake up our world over the next twenty years. We're just at the beginning of the technological revolution that AI will bring.
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Baum argues that the complexity of mind is the outcome of evolution, which has built thought processes that act unlike the standard algorithms of computer science and that to understand the mind we need to understand these thought processes and the evolutionary process that produced them in computational terms.
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Human Compatible: Artificial Intelligence and the Problem of Control is a 2019 non-fiction book by computer scientist Stuart J. Russell. It asserts that the risk to humanity from advanced artificial intelligence is a serious concern despite the uncertainty surrounding future progress in AI.
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These books are not required for you to learn Artificial Intelligence, but they are highly recommended for you to deepen your knowledge.
Applied Artificial Intelligence is a practical guide for business leaders who are passionate about leveraging machine intelligence to enhance the productivity of their organizations and the quality of life in their communities.
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When we're talking about computer science, however, pattern recognition is the technology that matches incoming data with information stored in a database. Thus, pattern recognition is a type of machine learning since it uses machine learning algorithms to recognize patterns.
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They argue that the Second Machine Age involves the automation of a lot of cognitive tasks that make humans and software-driven machines substitutes, rather than complements. They contrast this with what they call the "First Machine Age", or Industrial Revolution, which helped make labor and machines complementary.
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The book explains all algorithms using actual numeric calculations that you can perform yourself. Artificial Intelligence for Humans is a book series meant to teach AI to those without an extensive mathematical background. The reader needs only a knowledge of basic college algebra or computer programming—anything more complicated than that is thoroughly explained. Every chapter also includes a…
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