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There is a dearth of resources for data scientists, statisticians, etc., wishing to learn about Julia. Using well known data science methods, this book will both motivate the... Læs mere
This practical guide to web typography helps designers understand how the typographic choices they make in layout... Læs mere
This book presents the basic knowledge and illustrative examples to build dynamic and robust web applications using the .NET Framework... Læs mere
This book is an experiment and reference book for algorithm design courses, as well as a training manual for programming contests. It contains 247 problems selected from ACM-ICPC programming contests and other programming contests.
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
This book covers the fundamentals of data science, including programming, statistics, optimization, and machine learning in a single and short book.... Læs mere
This book explains how to use the symbolic differentiation system D* for applications in computer games and engineering... Læs mere
Surveying the major programming languages that have hallmarked the evolution of computing, Programming Language Fundamentals by Example provides an... Læs mere
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.
This book is a well-recognized and leading guidebook on High Performance Computing for a broad audience of readers... Læs mere