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Meilleures séries dans ce pays : Canada

1-12 sur 12 résultats pour « weiqi wang »
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  • Machine Unlearning: Concepts and Implementations

    par Weiqi Wang, Shui Yu ...
    Collections series Computer Science (R0)
    As "right to be forgotten" style regulations, data governance requirements, and security concerns expand worldwide, researchers and practitioners need methods that go beyond ad hoc retraining and provide effective deletion from models. Machine unlearning has emerged as a core capability for trustworthy artificial intelligence (AI), enabling trained models to remove the influence of specific data ... En savoir plus

    $217.79 CAD

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  • Generative Adversarial Networks with Industrial Use Cases

    Learning How to Build GAN Applications for Retail, Healthcare, Telecom, Media, Education, and HRTech

    par Navin K Manaswi ...
    This book aims at simplifying GAN for everyone. This book is very important for machine learning engineers, researchers, students, professors, and professionals. Universities and online course instructors will find this book very interesting for teaching advanced deep learning, specially Generative Adversarial Networks(GAN). Industry professionals, coders, and data scientists can learn GAN from ... En savoir plus

    $21.99 CAD ou Gratuit avec Kobo Plus

  • Representation Learning for Natural Language Processing

    Modifié par Zhiyuan Liu, Yankai Lin, Maosong Sun ...
    Collections series Computer Science (R0)
    This book provides an overview of the recent advances in representation learning theory, algorithms, and applications for natural language processing (NLP), ranging from word embeddings to pre-trained language models. It is divided into four parts. Part I presents the representation learning techniques for multiple language entries, including words, sentences and documents, as well as pre-training ... En savoir plus

    Gratuit

  • How Large Language Models Work

    par Edward Raff, Drew Farris, Stella Biderman ...
    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, introduces the optimization techniques to fine-tune them, and shows how to create pipelines and ... En savoir plus

    $65.99 CAD

  • Entity Alignment

    Concepts, Recent Advances and Novel Approaches

    par Xiang Zhao, Weixin Zeng, Jiuyang Tang ...
    Collections series Computer Science (R0)
    This open access book systematically investigates the topic of entity alignment, which aims to detect equivalent entities that are located in different knowledge graphs. Entity alignment represents an essential step in enhancing the quality of knowledge graphs, and hence is of significance to downstream applications, e.g., question answering and recommender systems. Recent years have witnessed a ... En savoir plus

    Gratuit

  • Foundations of Semantic Communication Networks

    Modifié par Walid Saad, Christina Chaccour, Christo Kurisummoottil Thomas, Merouane Debbah ...
    Comprehensive overview of the principles, theories, and techniques needed to build end-to-end semantic communication systems, with case studies included.In this rapidly evolving landscape, the integration of connected intelligence applications highlights the pressing need for networks to gain intelligence in a non-siloed and ad hoc manner. The traditional incremental approach to network design is ... En savoir plus

    $141.99 CAD

  • GANs in Action

    Deep learning with Generative Adversarial Networks

    par Vladimir Bok, Jakub Langr ...
    Deep learning systems have gotten really great at identifying patterns in text, images, and video. But applications that create realistic images, natural sentences and paragraphs, or native-quality translations have proven elusive. Generative Adversarial Networks, or GANs, offer a promising solution to these challenges by pairing two competing neural networks' one that generates content and the ... En savoir plus

    $65.99 CAD

  • Large Language Models

    Concepts, Techniques and Applications

    par John Atkinson-Abutridy ...
    This book serves as an introduction to the science and applications of Large Language Models (LLMs). You'll discover the common thread that drives some of the most revolutionary recent applications of artificial intelligence (AI): from conversational systems like ChatGPT or BARD, to machine translation, summary generation, question answering, and much more.At the heart of these innovative ... En savoir plus

    $90.99 CAD

  • Mobile Microservices

    Building Flexible Pervasive Applications

    par Nanxi Chen ...
    In the 5G era, edge computing and new ecosystems of mobile microservices enable new business models, strategies, and competitive advantage. Focusing on microservices, this book introduces the essential concepts, technologies, and trade-offs in the edge computing architectural stack, providing for widespread adoption and dissemination.The book elucidates the concepts, architectures, well-defined ... En savoir plus

    $94.99 CAD

  • Artificial Intelligence

    Data and Model Safety

    par Yu-Gang Jiang, Xingjun Ma, Zuxuan Wu ...
    Artificial Intelligence Data and Model Safety: Risks, Attacks and Defenses offers a comprehensive overview of the evolution of AI and its security concerns. The book delves into how historical advancements in AI have both bolstered and complicated the issue of safeguarding data and models. By reflecting on the interplay between machine learning innovations and vulnerabilities, it sets the stage ... En savoir plus

    $247.99 CAD

  • Machine Unlearning for Governance of Foundation Models

    Modifié par Sijia Liu, Yang Liu, Nathalie Baracaldo ...
    Collections series Synthesis Collection of Technology (R0)
    This book provides a systematic and in-depth introduction to machine unlearning (MU) for foundation models, framed through an optimization–model–data tri-design perspective and complemented by assessments and applications. As foundation models are continuously adapted and reused, the ability to selectively remove unwanted data, knowledge, or model behavior, without full retraining, poses new ... En savoir plus

    $51.29 CAD

  • Adversarial Robustness for Machine Learning

    par Pin-Yu Chen, Cho-Jui Hsieh ...
    Adversarial Robustness for Machine Learning summarizes the recent progress on this topic and introduces popular algorithms on adversarial attack, defense and verification. Sections cover adversarial attack, verification and defense, mainly focusing on image classification applications which are the standard benchmark considered in the adversarial robustness community. Other sections discuss ... En savoir plus

    $97.99 CAD