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Tag: HumanintheLoop

  • Robert Munro Human-in-the-Loop Machine Learning (Paperback)

    Robert Munro Human-in-the-Loop Machine Learning (Paperback)



    Robert Munro Human-in-the-Loop Machine Learning (Paperback)

    Price : 85.26

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    Introducing “Robert Munro Human-in-the-Loop Machine Learning” – A must-read for anyone interested in the intersection of human intelligence and machine learning. In this groundbreaking book, Robert Munro explores the powerful combination of human expertise and machine learning algorithms to create more accurate and efficient AI systems.

    From practical case studies to theoretical insights, Munro delves into the ways in which human-in-the-loop machine learning can revolutionize industries ranging from healthcare to finance. By harnessing the unique strengths of both humans and machines, organizations can achieve unprecedented levels of accuracy and scalability in their AI applications.

    Whether you’re a data scientist, AI enthusiast, or simply curious about the future of technology, “Robert Munro Human-in-the-Loop Machine Learning” is a must-have addition to your library. Order your paperback copy today and embark on a journey to unlock the full potential of human-in-the-loop machine learning!
    #Robert #Munro #HumanintheLoop #Machine #Learning #Paperback

  • Human-in-the-Loop Machine Learning: Active learning and annotation for human-centered AI

    Human-in-the-Loop Machine Learning: Active learning and annotation for human-centered AI


    Price: $59.99 – $49.54
    (as of Dec 18,2024 08:06:48 UTC – Details)




    Publisher ‏ : ‎ Manning (July 20, 2021)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 424 pages
    ISBN-10 ‏ : ‎ 1617296740
    ISBN-13 ‏ : ‎ 978-1617296741
    Item Weight ‏ : ‎ 1.58 pounds
    Dimensions ‏ : ‎ 7.38 x 1 x 9.25 inches


    Human-in-the-Loop Machine Learning: Active learning and annotation for human-centered AI

    In the ever-evolving field of artificial intelligence, human-in-the-loop machine learning is gaining traction as a powerful tool for creating more human-centered AI systems. By incorporating human feedback and expertise into the machine learning process, these systems can be more transparent, trustworthy, and aligned with human values.

    One key aspect of human-in-the-loop machine learning is active learning, where the machine learning model actively selects the most informative data points for human annotation. This helps to reduce the amount of labeled data needed for training, making the process more efficient and cost-effective. By focusing on the most relevant data, active learning can also improve the accuracy and generalizability of AI models.

    Another important component of human-in-the-loop machine learning is annotation, where humans provide labels or annotations to guide the machine learning process. This can involve tasks such as categorizing images, transcribing text, or labeling objects in videos. By involving humans in the annotation process, AI systems can learn from human expertise and better understand complex, nuanced concepts.

    Overall, human-in-the-loop machine learning holds great promise for creating AI systems that are more responsive to human needs and preferences. By incorporating active learning and annotation, these systems can benefit from the best of both human and machine intelligence, leading to more robust and effective AI solutions.
    #HumanintheLoop #Machine #Learning #Active #learning #annotation #humancentered

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