Human centered machine learning (42 resultados)

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Condición: New. 2026. hardcover. . . . . . Books ship from the US and Ireland.

Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This collection of articles and interviews surveys human-centered approaches to machine learning that can make AI more human-friendly, usable, and ethical. It provides a handbook for students, researchers, and practitioners who want new ways of approaching AI that place humanity at their center. It shows how to apply methods from human-computer interaction to the new technologies of AI and ML with a view to enabling computing technology to become user-friendly and human-centric. The book has 13 articles and 9 interviews from a range of different perspectives, helping readers understand existing machine learning systems and their impacts on people and society. It is an ideal introduction both for human-computer interaction practitioners who are interested in working with ML and for ML experts interested in making their practice more human-centered. The book offers a critical lens on existing machine learning alongside an optimistic vision of AI in the service of humanity.…

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paperback. Condición: New. Language:Chinese.Paperback. Pub Date: 2025-04 Publisher: Sichuan University Press.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book gives professionals, students, educators, managers, analysts, entrepreneurs, and curious readers a clear map of modern AI in applied, easy-to-follow language. It explains how the major pieces fit together, including machine learning, deep learning, generative AI, prompt engineering, retrieval-augmented generation (RAG), generative adversarial networks (GANs), AI agents, human-centered design, model evaluation, risk, and business value.Rather than treating AI as a single technology, this guide shows AI as a landscape of connected ideas, tools, decisions, and tradeoffs. You will learn how models are trained, how prompts shape outputs, how retrieval can ground answers in documents, how agents use tools and workflows, how synthetic media is created, and how to evaluate whether an AI system is accurate, useful, safe, and worth the cost.Inside, you will learn how to think about:¿ Machine learning, deep learning, RAG, GANs, and generative AI¿ Prompts, tokens, delimiters, retrieval, guardrails, and AI agents¿ Human oversight, explainability, privacy, bias, and risk¿ Accuracy, false positives, false negatives, and model evaluation¿ Data quality, workflows, cost, ROI, and business value¿ Human-centered AI design and practical product decisions¿ When to use AI-and when a simpler solution is betterThe book uses diagrams, tables, examples, checklists, code-oriented illustrations, and field-guide explanations to make complex AI concepts easier to compare, remember, and apply. It is designed to help readers build a working mental model, not just memorize definitions.Use this guide if you are evaluating AI tools, teaching AI basics, planning an AI initiative, supporting technical teams, designing an AI-powered product, or exploring an entrepreneurial AI idea. It will help you ask better questions, recognize common failure modes, understand tradeoffs, and communicate more clearly with both technical and nontechnical audiences.…

Taschenbuch. Condición: Neu. THE AI LANDSCAPE | A Field Guide to Machine Learning, Generative AI, and Human-Centered AI Design | Frank Seres | Taschenbuch | Englisch | 2026 | Applied Analytics Learning Press | EAN 9798234110503 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…

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Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Machine Learning for Smart Society: Technology, Human Values and Impact presents a comprehensive exploration of how machine learning is transforming modern society while emphasizing the importance of human values, ethics, and social responsibility. The book bridges the gap between advanced technological innovations and their real-world implications across sectors such as healthcare, education, agriculture, transportation, governance, cybersecurity, and smart cities. Designed for students, researchers, academicians, and industry professionals, this book explains fundamental machine learning concepts alongside emerging applications that contribute to societal development and sustainable growth. It examines the opportunities and challenges associated with intelligent systems, including fairness, transparency, privacy, accountability, and ethical decision-making.Through practical examples, case studies, and future-oriented discussions, the book highlights the role of machine learning in addressing complex social problems and improving quality of life. By integrating technological advancements with human-centric perspectives, it provides readers with a balanced understanding of how intelligent systems can create a smarter, more inclusive, and sustainable society for future generations. …

Condición: New. PRINT ON DEMAND.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Machine Learning for Smart Society: Technology, Human Values and Impact presents a comprehensive exploration of how machine learning is transforming modern society while emphasizing the importance of human values, ethics, and social responsibility. The book bridges the gap between advanced technological innovations and their real-world implications across sectors such as healthcare, education, agriculture, transportation, governance, cybersecurity, and smart cities. Designed for students, researchers, academicians, and industry professionals, this book explains fundamental machine learning concepts alongside emerging applications that contribute to societal development and sustainable growth. It examines the opportunities and challenges associated with intelligent systems, including fairness, transparency, privacy, accountability, and ethical decision-making.Through practical examples, case studies, and future-oriented discussions, the book highlights the role of machine learning in addressing complex social problems and improving quality of life. By integrating technological advancements with human-centric perspectives, it provides readers with a balanced understanding of how intelligent systems can create a smarter, more inclusive, and sustainable society for future generations.…