AI die iedereen ziet is een baanbrekend boek dat de ethische en maatschappelijke uitdagingen van kunstmatige intelligentie blootlegt. Het boek maakt duidelijk hoe AI zonder zorgvuldige ontwerpprincipes kan leiden tot discriminatie en ongelijkheid.

Aan de hand van historische en hedendaagse voorbeelden, zoals de toeslagenaffaire, illustreert het de dringende noodzaak van inclusieve en eerlijke technologie. Het biedt niet alleen een diepgaande analyse, maar ook praktische richtlijnen voor de o...

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...

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...

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...