AI-agents zijn niet langer toekomstmuziek: ze plannen agenda’s, verwerken documenten, ondersteunen klanten en coördineren processen. Steeds meer organisaties onderzoeken hoe ze deze slimme, taakgerichte systemen kunnen inzetten om werk te verlichten en waarde te creëren. Maar hoe breng je AI-agents van experiment naar praktijk?

In AI-agents in de praktijk leer je hoe je agents ontwikkelt die autonoom kunnen redeneren, beslissen en handelen – met behulp van frameworks als LangChain, Auto...

User experience (UX) design practices have seen a fundamental shift as more and more software products incorporate machine learning (ML) components and artificial intelligence (AI) algorithms at their core. This book will probe into UX design's role in making technologies inclusive and enabling user collaboration with AI. AI/ML-based systems have changed the way of traditional UX design.

Instead of programming a method to do a specific action, creators of these systems provide data and nurtur...

Meer werk verzetten in minder tijd? Het kan met ChatGPT, Copilot en Gemini.

Ontdek met deze superpraktische gids hoe je perfecte prompts schrijft voor het automatiseren van saaie taken, het vinden van informatie en het genereren van afbeeldingen.

Bespaar tijd en geld en gebruik ChatGPT, Gemini, CoPilot voor contentcreatie, data-analyse, programmeren of marktonderzoek. Inclusief voorbeelden van slimme prompts en praktische toepassingen. Een onmisbaar boek voor beginners en gevorderden, thuis e...

A Fortune magazine journalist draws on his expertise and extensive contacts among the companies and scientists at the forefront of artificial intelligence to offer dramatic predictions of AI's impact over the next decade, from reshaping our economy and the way we work, learn, and create to unknitting our social fabric, jeopardizing our democracy, and fundamentally altering the way we think.

Within the next five years, Jeremy Kahn predicts, AI will disrupt almost every industry and enterprise,...

Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. This introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. Technical an...

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...

A substantially revised fourth edition of a comprehensive textbook, including new coverage of recent advances in deep learning and neural networks.