BROWSE

Author Profile

TOPIC

    NUMBER OF VISITS

    Browsing by Subject Machine Learning

    Jump to: 0-9 A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
    or enter first few letters:  
    Showing results 4 to 5 of 5
    • TVS.005077_TT_(SpringerBriefs in Computer Science) M. N. Murty, M. Avinash - Representation in Machine Learning-Springer (2023).pdf.jpg
    • Sách/Book

    • Representation in Machine Learning

      • Authors: M. N. Murty (2023)

    • This book provides a concise but comprehensive guide to representation, which forms the core of Machine Learning (ML). State-of-the-art practical applications involve a number of challenges for the analysis of high-dimensional data.
    • TVS.006035_TT_Anthony Sarkis - Training Data for Machine Learning_ Human Supervision from Annotation to Data Science (8th Early release)-O_Reilly Medi.pdf.jpg
    • Sách/Book

    • Training Data for Machine Learning: Human Supervision from Annotation to Data Science

      • Authors: Sarkis, Anthony (2023)

    • Training Data controls the system by defining the ground truth goals for the creation of Machine Learning models. This involves technical representations, people decisions, processes, tooling, system design, and a variety of new concepts specific to Training Data. In a sense, a Training Data mindset is a paradigm upon which a growing list of theories, research and standards are emerging. A Machine Learning (ML) Model that is created as the end result of a ML Training Process.