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This fourth volume in the Advanced Information Processing Technology series brings together Japanese researchers working in the field of Lisp technology and reflects the growing... Læs mere
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This book covers the fundamentals of data science, including programming, statistics, optimization, and machine learning in a single and short book.... Læs mere
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Bemærk: Kan ikke leveres før jul.
Suitable for IT professionals developing Oracle-based Web-enabled applications in PLlSQL, Java, C, C++, .NET, Perl, and PHP, this book focuses on... Læs mere
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Based on the author’s experience teaching data science for more than 10 years, Mathematics and R Programming for Machine Learning reveals how machine learning algorithms do their magic and explains how logic can be implemented in code.
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Written by experienced LabVIEW™ developers and engineers, this guide explains how to integrate LabVIEW into real-life applications. Each chapter... Læs mere
Bemærk: Kan ikke leveres før jul.
Bemærk: Kan ikke leveres før jul.
Bemærk: Kan ikke leveres før jul.
Defines the 2,500 most-used words in the embedded systems field, with over 4,500 entries and cross-references. This dictionary is designed to serve both the technical and non-technical audience.
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Discovering Computer Science: Interdisciplinary Problems, Principles, and Python Programming introduces computational problem solving as a vehicle of discovery in a wide variety of disciplines.
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Using the implementation of a deep learning framework as an example, C++ Template Metaprogramming in Practice: A Deep Learning Framework explains the application of metaprogramming in a relatively large project and emphasizes ways to optimize systems performance.
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Computer programming is an empowering skill for those who wants to better the world, improve their career, or just have fun. This book covers... Læs mere