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The 9 Pitfalls of Data Science is loaded with entertaining tales of both successful and misguided approaches to interpreting data, both grand successes and epic failures.
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The purpose of this book is to provide the reader with a solid background and understanding of the basic results and methods in probability theory before entering into more advanced courses (in probability and/or statistics).
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This new edition of Wilde's popular book promises over 100 pages of new material, exercises and references. New attention is given to the derivation of the Choi–Kraus theorem... Læs mere
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This book provides the mathematical basis for investigating numerically equations from physics, life sciences or engineering. Tools for analysis and... Læs mere
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This graduate-level textbook is primarily aimed at graduate students of statistics, mathematics, science, and engineering who have had an undergraduate course in statistics, an upper division course in analysis, and some acquaintance with measure theoretic probability.
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Reinforcing concepts with frequent exercises and extended applications, this introduction to the theoretical and computational aspects of linear algebra uses the MATLAB software to master the basic algorithms and to increase the speed and efficiency of computations.
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Computer Arithmetic Volume III is a compilation of key papers in computer arithmetic on floating-point arithmetic and design.
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This is the new edition of the classic book Computer Arithmetic in three volumes published originally in 1990 by IEEE Computer Society Press. As in the original, the book... Læs mere
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Modern software places increasing reliance on dynamic memory allocation, but its direct management is not only notoriously... Læs mere