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Studieboeken (15)
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Prolog Programming for Artificial Intelligence / 4th edition
2011 || Paperback || Ivan Bratko || Pearson
The fourth edition of this best-selling guide to Prolog and Artificial Intelligence has been updated to include key developments in the field while retaining its lucid approach to these topics. New and extended topics include Constraint Logic Programming, abductive reasoning and partial order planning. Divided into two parts, the first part of the book introduces the programming language Prolog, while the second part teaches Artificial Intelligence using Prolog as a tool for the implementatio...
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Artificial Intelligence / 4th Global edition
A Modern Approach
2021 || Paperback || Stuart Russell e.a. || Pearson || ook als eBook
Thelong-anticipated revision of ArtificialIntelligence: A Modern Approach explores the full breadth and depth of the field of artificialintelligence (AI). The 4th Edition brings readers up to date on the latest technologies,presents concepts in a more unified manner, and offers new or expanded coverageof machine learning, deep learning, transfer learning, multi agent systems,robotics, natural language processing, causality, probabilistic programming,privacy, fairness, and safe AI.
Foundations of Machine Learning / 2nd edition
2023 || Hardcover || Mehryar Mohri e.a. || MIT Press
A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms. This book is a general introduction to machine learning that can serve as a textbook for graduate students and a reference for researchers. It covers fundamental modern topics in machine learning while providing the theoretical basis and conceptual tools needed for the discussion and justification of algorithms. It also describes several key aspects of the application of these al...
Applied Unsupervised Learning with R / 1st edition
Uncover hidden relationships and patterns with k-means clustering, hierarchical clustering, and PCA
2022 || Paperback || Alok Malik e.a. || Packt Publishing Limited
Design clever algorithms that discover hidden patterns and draw responses from unstructured, unlabeled data. Key FeaturesBuild state-of-the-art algorithms that can solve your business' problemsLearn how to find hidden patterns in your dataRevise key concepts with hands-on exercises using real-world datasetsBook DescriptionStarting with the basics, Applied Unsupervised Learning with R explains clustering methods, distribution analysis, data encoders, and features of R that enable you to unders...
AI for Games / 1st edition
2021 || Paperback || Ian Millington || Taylor & Francis
Provides a clear and concise overview of how AI is used in game development Gives a brief overview of the history of AI in games Considers the different models, techniques and algorithms that are used in creating game AI.