Mathematical aspects of deep learning
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Mathematical Aspects of Deep Learning
The development of a theoretical foundation for deep learning methods constitutes one of the most active and exciting research topics in applied mathe
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Applied Deep Learning
This book focuses on the applied aspects of artificial intelligence using enterprise frameworks and technologies. It will be valuable for undergraduat
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Machine Learning Taylor & Francis Ltd
This book starts at basic conceptual level of explaining machine learning and goes on to explain the basis of machine learning algorithms. The mathematical foundations required are outlined along with their associations to machine learning. This approach enables the readers to explore the applicability of each algorithm by understanding the differences between them. A com...
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Measuring and Visualizing Space in Elementary Mathematics Learning Taylor & Francis Ltd
This bookexplores the development of elementary students’ understanding of the mathematics of measure, a frequently overlooked topic in elementary mathematics education, and demonstrates how measurement can serve as an anchor for supporting a deeper understanding of number operations and rational numbers. Authors Lehrer and Schauble offera unique, research driven resource...
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Measuring and Visualizing Space in Elementary Mathematics Learning Taylor & Francis Ltd
This bookexplores the development of elementary students’ understanding of the mathematics of measure, a frequently overlooked topic in elementary mathematics education, and demonstrates how measurement can serve as an anchor for supporting a deeper understanding of number operations and rational numbers. Authors Lehrer and Schauble offera unique, research driven resource...
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Computational and Analytic Methods in Biological Sciences Taylor & Francis Ltd
In spite of advancements in instrumentations technology and biomedical equipment, it is not always possible to perform experiments in medicine and biology for various reasons. Thus, mathematical modelling and simulation are viewed as viable alternatives in such situations, and are discussed in this book. This book explores the probabilistic computational deep learning mod...
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Black Holes: A Student Text (3rd Edition)
This book provides an accessible introduction to the fascinating and topical subject of black holes. It bridges the gap between popular non-mathematical expositions and advanced research texts, using simple undergraduate level calculations and the most basic knowledge of relativity to explain current research. This means the theory can be understood by a wide audience of ...
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