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This book looks at industry change patterns and innovations (such as artificial... Læs mere
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The book is written for newcomers to reinforcement learning who wish to write code for various applications, from robotics to power systems to supply chains.... Læs mere
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This text explores a diverse set of data science topics through a mathematical lens, helping mathematicians become acquainted with data science in... Læs mere
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Machine Learning for Criminology and Crime Research reviews the roots of the intersection between machine learning, Artificial... Læs mere
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This book highlights recent advance in the area of Machine Learning and IoT, and their applications to solve societal issues/problems or useful for various users in the society.
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Bemærk: Kan leveres før jul.
Bemærk: Kan leveres før jul.
This is the first book focused entirely on deep learning theory. Tools from theoretical physics are... Læs mere
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This concise course in principled data analysis for the mathematically literate uses survey sampling and designed experiments as a... Læs mere
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This book presents the integration of machine learning and deep learning algorithms that can be applied in the healthcare sector to reduce the time needed by doctors, radiologists, and other medical professionals to analyze, predict, and diagnose conditions with accurate results.
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This book explains the main ideas behind MemComputing, its theoretical foundations and its applicability to a wide variety of combinatorial optimization problems, machine learning, and quantum mechanics.