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Edward Raff – författare

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4 produkter

  1. Edward Raff, Drew Farris, Stella Biderman - How Large Language Models Work, Häftad. Tillgänglighet: Lägg i varukorg

    How Large Language Models Work

    Av Edward Raff, Drew Farris m. fl.

    Häftad, 2025

    442 kr

    Lägg i varukorg

    Learn how large language models like GPT and Gemini work under the hood in plain English. How Large Language Models Work translates years of expert research on Large Language Models into a readable, focused introduction to working with these amazing systems. It explains clearly how LLMs function, …

  2. Edward Raff - Inside Deep Learning: Math, Algorithms, Models, Häftad. Tillgänglighet: Lägg i varukorg

    Inside Deep Learning: Math, Algorithms, Models

    Av Edward Raff

    Häftad, 2022

    508 kr

    Lägg i varukorg

    "If you want to learn some of the deeper explanations of deep learning and PyTorch then read this book!" - Tiklu Ganguly Journey through the theory and practice of modern deep learning, and apply innovative techniques to solve everyday data problems. In Inside Deep Learning, you will learn how to: …

  3. Stella Biderman, Drew Farris, Edward Raff - How Large Language Models Work, E-bok. Tillgänglighet: Lägg i varukorg

    How Large Language Models Work

    Av Stella Biderman, Drew Farris m. fl.

    E-bok, 2025

    665 kr

    Lägg i varukorg

    Learn how large language models like GPT and Gemini work under the hood in plain English. How Large Language Models Work translates years of expert research on Large Language Models into a readable, focused introduction to working with these amazing systems. It explains clearly how LLMs function, …

  4. Edward Raff, Charles Nicholas, Robert J Joyce - MACHINE LEARNING FOR MALWARE DETECTION, Inbunden. Tillgänglighet: Kommande

    MACHINE LEARNING FOR MALWARE DETECTION

    Av Edward Raff, Charles Nicholas m. fl.

    Inbunden, 2026

    1475 kr

    Kommande

    Malware detection is exceedingly challenging, requiring deeper expertise in two domains: machine learning (ML) and malware analysis.This comprehensive collection guides ML practitioners and researchers into the state-of-the-art and underlying insights needed to work in and research problems at the …