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1
Artificial intelligence : a modern approach / Stuart Jonathan Russell, Peter Norvig; et al
New Jersey : Pearson, 2010
xviii, 1132 p. : ill. ; 29 cm.

For one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence. The long-anticipated revision of this best-selling text offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. View chapters 3 and 4 from the Third Edition.

2
Foundations of neural networks, fuzzy systems, and knowledge engineering / Nikola K. Kasabov.
Cambridge, Mass. : MIT Press, c1996.
xvi, 550 p. : ill. ; 24 cm.



3
HBR's 10 must reads on AI, analytics, and the new Machine Age / Harvard Business Review Press.
Boston, Massachusetts : Harvard Business Review Press, 2019
181 p. : ill. ; 21 cm.

In this book you will learn about how: - Data analytics and AI are yielding insights at an unprecedented rate - Machine learning is reinventing management and reshaping the workforce - Unmanned vehicles are evolving from toys into tools - 3-D printing is moving beyond rapid prototyping to industrial production at scale - Augmented reality is transforming both manufacturing and retail experiences - AI assistants and smart speakers are grabbing territory between customers and brands - A broadly coordinated rollout of blockchain could reshape economies HBR's 10 Must Reads paperback series is the definitive collection of books for new and experienced leaders alike. Leaders looking for the inspiration that big ideas provide, both to accelerate their own growth and that of their companies, should look no further. HBR's 10 Must Reads series focuses on the core topics that every ambitious manager needs to know: leadership, strategy, change, managing people, and managing yourself. Harvard Business Review has sorted through hundreds of articles and selected only the most essential reading on each topic. Each title includes timeless advice that will be relevant regardless of an ever-changing business environment

4
Human + machine / Paul R. Daugherty, H. James Wilson.
Boston ; Massachusetts : Harvard Business Review Press, 2018
vi, 249 p. : ill. ; 24 cm.

In Human + Machine, Accenture technology leaders H. James Wilson and Paul R. Daugherty vividly illustrate how AI is redefining work and the economy. At the core of this paradigm shift is the transformation of business processes--all the step-by-step tasks that take place within an organization, from operations to customer service to workers' own personal productivity habits. As humans and smart machines collaborate ever more closely, work processes become more fluid and adaptive, enabling companies to change them on the fly--or completely reimagine them.

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Machine Learning / Tom M. Mitchell
New York : McGraw Hill, 1997
XVII, 414 p. : diagrams ; 23 cm.