Artificial Intelligence, Robotics, Privacy and Data Protection by the European Union
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A Course in Machine Learning
Machine learning is the investigation of Computer frameworks that gain from information and experience. It is connected in an unbelievably wide assortment of utilization zones, from medication to publicizing, from military to person on foot.
Any territory in which you have to understand information is a potential client of machine learning.
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Artificial Intelligence: Foundations of Computational Agents
This book went for junior to senior college understudies and first-year graduate understudies, presents Artificial Intelligence (AI) utilizing a reasonable system to ponder the outline of smart computational specialists. By indicating how essential methodologies fit into a multidimensional plan space, per users can take in the basics without dismissing the master plan.
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Clever Algorithms: Nature-Inspired Programming Recipes
This book gives a handbook of algorithmic formulas from the fields of Metaheuristics, These institutionalized depictions were painstakingly intended to be open, usable, and reasonable.
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Practical Artificial Intelligence Programming in Java
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The Quest for Artificial Intelligence
This book traces the history of the subject, from the early dreams of eighteenth-century (and earlier) pioneers to the more successful work of today’s AI engineers. AI is becoming more and more a part of everyone’s life. The technology is already embedded in face-recognizing cameras, speech-recognition software, Internet search engines, and health-care robots,
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Ambient Intelligence
This book is an integrating technology for supporting a pervasive and transparent infrastructure for implementing smart environments. Such technology is used to enable environments for detecting events and behaviors of people and for responding in a contextually relevant fashion. AmI proposes a multi-disciplinary approach for enhancing human machine interaction.
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Simply Logical: Intelligent Reasoning by Example
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Logic for Computer Science: Foundations of Automatic Theorem Proving
This book for undergraduate and graduate students introduces mathematical logic with an emphasis on proof theory and procedures for algorithmic construction of formal proofs. The self-contained treatment is also useful for computer scientists and mathematically inclined readers interested in the formalization of proofs and basics of automatic theorem proving.
Topics include propositional logic and its resolution, first-order logic, Gentzen’s cut elimination theorem.
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Bio-Inspired Computational Algorithms and Their Applications
This book focuses on the fields of hybrid intelligent systems based on fuzzy systems, neural networks, bio-inspired algorithms and time series. This book describes the construction of ensembles of Interval Type-2 Fuzzy Neural Networks models and the optimization of their fuzzy integrators with bio-inspired algorithms for time series prediction. Interval type-2 and type-1 fuzzy systems are used to integrate the outputs of the Ensemble of Interval Type-2 Fuzzy Neural Network models. Genetic Algorithms
