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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
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
Previous editions cataloged under main entry for Brian S. Everitt.
Designed for CS0 and CS1 courses, this textbook teaches computer science students how to use programming skills to... Læs mere
Discovering Computer Science: Interdisciplinary Problems, Principles, and Python Programming introduces computational problem solving as a vehicle of discovery in a wide variety of disciplines.