Douglas H. Fisher – författare
Visar alla böcker från författaren Douglas H. Fisher. Handla med fri frakt och snabb leverans.
5 produkter
Artificial Intelligence for Academic Libraries
Av Clifford B. Anderson, Douglas H. Fisher
Häftad, 2025
607 kr
Lägg i varukorg
Artificial Intelligence for Academic Libraries provides a clear and dependable guide to the history, theory, and application of artificial intelligence (AI) and machine learning (ML) in academic libraries, addressing the needs of librarians, staff, administrators, and other stakeholders. Emerging …
Artificial Intelligence for Academic Libraries
Av Clifford B. Anderson, Douglas H. Fisher
Inbunden, 2025
2585 kr
Lägg i varukorg
Artificial Intelligence for Academic Libraries provides a clear and dependable guide to the history, theory, and application of artificial intelligence (AI) and machine learning (ML) in academic libraries, addressing the needs of librarians, staff, administrators, and other stakeholders. Emerging …
Artificial Intelligence for Academic Libraries
Av Douglas H. Fisher, Clifford B. Anderson
E-bok, 2025
576 kr
Lägg i varukorg
Artificial Intelligence for Academic Libraries provides a clear and dependable guide to the history, theory, and application of artificial intelligence (AI) and machine learning (ML) in academic libraries, addressing the needs of librarians, staff, administrators, and other stakeholders. Emerging …
Artificial Intelligence for Academic Libraries
Av Douglas H. Fisher, Clifford B. Anderson
E-bok, 2025
576 kr
Lägg i varukorg
Artificial Intelligence for Academic Libraries provides a clear and dependable guide to the history, theory, and application of artificial intelligence (AI) and machine learning (ML) in academic libraries, addressing the needs of librarians, staff, administrators, and other stakeholders. Emerging …
Concept Formation
Knowledge and Experience in Unsupervised Learning
Av Pat Langley, Michael J. Pazzani m. fl.
E-bok, 2014
781 kr
Lägg i varukorg
Concept Formation: Knowledge and Experience in Unsupervised Learning presents the interdisciplinary interaction between machine learning and cognitive psychology on unsupervised incremental methods. This book focuses on measures of similarity, strategies for robust incremental learning, and the …