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sing a novel integration of mathematics and Python codes, this book illustrates the fundamental concepts that link probability, statistics, and machine learning, so that the reader can not only employ statistical and machine learning models usin[...]
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DING Yining, Auteur ; NING Xiliang, Auteur | Springer NatureThis book is intended to establish a bridge between the GB 50010, Fib MC2010, BS 8110 and ACI 318 or EC2. The respective pros and cons of different theories and methods according to various standards are compared or analyzed. Undergraduate and g[...]
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The book is designed to serve as a textbook for courses offered to undergraduate and graduate students enrolled in Electrical Engineering. The first edition of this book was published in 2014. As there is a demand for the next edition, it is qui[...]
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This book is intended to provide non-specialists an overall understanding of tensor computation and its applications in data analysis, and benefits researchers, engineers, and students with theoretical, computational, technical and experimental [...]
