Resultados de Pesquisa

INGLÊS

Cross-Device Federated Recommendation - Privacy-Preserving Personalization

de Guojiang Shen, Lingyun Wang, Mengmeng Wang e Xiangjie Kong

~~145,09€~~ 130,58€ 10% IMEDIATO

DISPONIBILIDADE IMEDIATA

 This book introduces the prevailing domains of recommender systems and cross-device federated learning, highlighting the latest research progress and prospects regarding cross-device federated recommendation.
INGLÊS

Unsupervised Domain Adaptation - Recent Advances And Future Perspectives

de Jingjing Li, Lei Zhu e Zhekai Du

~~198,74€~~ 178,87€ 10% IMEDIATO

DISPONIBILIDADE IMEDIATA

 Unsupervised domain adaptation (UDA) is a challenging problem in machine learning where the model is trained on a source domain with labeled data and tested on a target domain with unlabeled data. In recent years, UDA has received significant attention from the research community due to its applicability in various real-world scenarios. This book provides a comprehensive review of state-of-the-art UDA methods and explores new variants of UDA that have the potential to advance the field.The book begins with a clear introduction to the UDA problem and is mainly organized into four technical sections, each focused on a specific piece of UDA research. The first section covers criterion optimization-based UDA, which aims to learn domain-invariant representations by minimizing the discrepancy between source and target domains. The second section discusses bi-classifier adversarial learning-based UDA, which creatively leverages adversarial learning by conducting a minimax game between the feature extractor and two task classifiers. The third section introduces source-free UDA, a novel UDA setting that does not require any raw data from the source domain. The fourth section presents active learning for UDA, which combines domain adaptation and active learning to reduce the amount of labeled data needed for adaptation.This book is suitable for researchers, graduate students, and practitioners who are interested in UDA and its applications in various fields, primarily in computer vision. The chapters are authored by leading experts in the field and provide a comprehensive and in-depth analysis of the current UDA methods and new directions for future research. With its broad coverage and cutting-edge research, this book is a valuable resource for anyone looking to advance their knowledge of UDA.
INGLÊS

Robust Machine Learning - Distributed Methods For Safe Ai

de Nirupam Gupta, Rachid Guerraoui e Rafael Pinot

~~158,34€~~ 142,51€ 10% IMEDIATO

DISPONIBILIDADE IMEDIATA

 Today, machine learning algorithms are often distributed across multiple machines to leverage more computing power and more data. However, the use of a distributed framework entails a variety of security threats. In particular, some of the machines may misbehave and jeopardize the learning procedure. This could, for example, result from hardware and software bugs, data poisoning or a malicious player controlling a subset of the machines. This book explains in simple terms what it means for a distributed machine learning scheme to be robust to these threats, and how to build provably robust machine learning algorithms.Studying the robustness of machine learning algorithms is a necessity given the ubiquity of these algorithms in both the private and public sectors. Accordingly, over the past few years, we have witnessed a rapid growth in the number of articles published on the robustness of distributed machine learning algorithms. We believe it is time to provide a clear foundation to this emerging and dynamic field. By gathering the existing knowledge and democratizing the concept of robustness, the book provides the basis for a new generation of reliable and safe machine learning schemes. In addition to introducing the problem of robustness in modern machine learning algorithms, the book will equip readers with essential skills for designing distributed learning algorithms with enhanced robustness. Moreover, the book provides a foundation for future research in this area.
INGLÊS

Artificial Intelligence With Python

de Teik Toe Teoh e Zheng Rong

~~81,10€~~ 56,77€ 30% IMEDIATO

portes grátis

 Entering the field of artificial intelligence and data science can seem daunting to beginners with little to no prior background, especially those with no programming experience.
INGLÊS

Machine Learning With Julia - An Algorithmic Exploration

de Jeremiah D. Deng

~~81,10€~~ 56,77€ 30% IMEDIATO

portes grátis

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