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Studieboeken (14)
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.
Why Machines Learn
the Elegant Maths Behind Modern AI
2024 || Hardcover || Anil Ananthaswamy || Allen Lane
Machine-learning systems are making life-altering decisions for us: approving mortgage loans, determining whether a tumour is cancerous, or deciding whether someone gets bail. They now influence discoveries in chemistry, biology and physics - the study of genomes, extra-solar planets, even the intricacies of quantum systems.
We are living through a revolution in artificial intelligence that is not slowing down. This major shift is based on simple mathematics, some of which goes back centuries...
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...