Artificial Intelligence Books to Read in 2019

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Artificial Intelligence Books to Read in 2019

• Artificial Intelligence can be defined as the
  ability of machines to imitate human behavior and
  has come a long way from nightmares and mad
  dreams to self-driving cars and automated
  factories.

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Introduction to Artificial Intelligence

• This tops the list of artificial intelligence
  books because this book allows you to explore new
  spheres and develop a deeper understanding of the
  whole concept so that you know whats coming
  next.
• This classic provides a perfect introduction to
  the science of reasoning processes in computers
  based on more than twenty years of research.
• Machine learning, industrial automation, software
  techniques, automatic programming, psychological
  stimulation, predicate-calculus theorem are just
  some of the subjects that have been made easier
  to understand because of clear illustrations and
  diagrams.

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• Are you an experienced engineer who wants to gain
  serious knowledge about Deep learning? This ones
  for you.
• This book is one of the best artificial
  intelligence books when it comes to coding as it
  assists you to start coding with all frameworks.
• This book addresses subjects like hidden layers,
  generative models, and convulsion making it
  easier to understand and get going faster.
• Author Aaron Courville, Yoshua Bengio and Ian
  Goodfellow

• Deep Learning

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How to Create a Mind The Secret of Human Thought
Revealed

• With clear theme explanations, learning from
  example, quantification of uncertainty perception
  and communication this book perfectly concludes
  with a discussion of age-old foundations of
  artificial intelligence as well as an in-depth
  examination for whats in store for us.
• This book is ideal for all individuals who are
  passionate about advanced machine learning and
  the correlation between humanity and intelligent
  machines.
• Author Ray Kurzweil

5

Reinforcement Learning An Introduction

• Today, reinforcement learning is perhaps one of
  the hottest topics in the field of artificial
  intelligence.
• The book has cleverly been divided into three
  sections first dedicated to an understanding of
  the Markov decision process, second dedicated to
  basic solutions like Monte Carlo methods, dynamic
  programming, etc. and third dedicated to
  providing a unified view of solution methodology.
  It covers all topics from eligibility traces to
  artificial neural networks.
• All in all, this book does a fantastic job when
  it comes to covering the latest applications and
  developments of reinforcement learning as well as
  its conceptual foundations.
• Author Andrew G. Barto and Richard S. Sutton

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Machines of Loving Grace

• This book provides a rich and detailed history of
  artificial intelligence and robotics. It makes it
  to our artificial intelligence books to-read-list
  because it highlights the interplay of increasing
  intelligence and automation and its impact on
  human societies.
• This book also throws light on the topic of
  intelligence automation (IA) and tells us why
  building a human element in technology is
  necessary.
• Author John Markoff

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Conclusion of Artificial Intelligence

• Artificial Intelligence and Machine Learning are
  products of both science and myth. The idea that
  machines could think and perform tasks just as
  humans do is thousands of years old. ... But the
  potential of AI and machine intelligence for good
  does not lie exclusively, or even primarily,
  within its technologies .
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• Technology Moon