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Fundamental topics in digital signal processing are covered through the introduction of theory, analytical tables, and applications with simulation tools. The... Læs mere
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The book offers an insight on artificial neural networks for giving a robot a high level of autonomous tasks, such as navigation, object... Læs mere
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Cognitive Computing is a new topic which aims to simulate human thought processes using computers that self-learn... Læs mere
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A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning.
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This book introduces artificial neural networks to students and professionals. It covers the theory and applications in statistical learning methods with concrete Python code examples.
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Providing a comprehensive account of neural networks from a statistical perspective, this book emphasizes on pattern recognition, which represents the area of greatest applicability for neural networks in contemporary times.
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An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives.
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Large-scale machine learning could prove highly beneficial in the study of earth science, a broad, multidisciplinary field of study that generates huge... Læs mere