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With an entire section dedicated to synthetic data, it explains how artificial data can be used to train effective models while safeguarding user privacy.
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The reader will learn how to build a machine-learning model and analyze the data which is generated by the... Læs mere
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The reader will learn how to build a machine learning model and analyze the data which is generated by the... Læs mere
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mso-fareast-font-family: 'Times New Roman';">Readers will benefit from a comprehensive yet concise presentation of modern DFO methods, gaining theoretical insights and practical tools to enhance their research and problem-solving capabilities.
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background: white;">This book highlights the exciting developments in optical fiber sensors and how artificial intelligence (AI) is boosting their... Læs mere
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This book presents a comprehensive exploration of palmprint recognition, synthesizing over a decade of research in contact-based, contactless, 3D, and multispectral systems.
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Although topic models have seen significant achievements over the past three decades, there remains a scarcity of methods that effectively model... Læs mere
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In "Sports Analytics: Data-Driven Sports and Decision Intelligence," embark on a journey through the exhilarating world of sports enhanced by the power of data-driven insights.
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This book presents machine learning models and algorithms to address big data... Læs mere
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Supervised sequence labelling is a vital area of machine learning, encompassing tasks such as speech, handwriting and gesture recognition, protein secondary structure prediction and part-of-speech tagging.
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