Introduction to Deep Learning Using R, Taweh Beysolow II
Автор: Davie Название: Introduction to Functional Programming Systems Using Haskell ISBN: 0521277248 ISBN-13(EAN): 9780521277242 Издательство: Cambridge Academ Рейтинг: Цена: 7445.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: An introduction to functional programming and its associated systems. A unique feature is its use of the language Haskell for teaching both the rudiments and the finer points of the functional technique. It serves as an introduction both to functional programming and Haskell. Especially valuable are the chapters on programming and implementation, along with a large number of exercises.
Описание: Written by HPC experts, this book provides a solid introduction to current mainstream computer architecture, dominant parallel programming models, and useful optimization strategies for scientific HPC. It facilitates an intuitive understanding of performance limitations without relying on heavy computer science knowledge.
Автор: Marshall Harrison Название: Introduction to 3D Game Engine Design Using DirectX 9 and C# ISBN: 1590590813 ISBN-13(EAN): 9781590590812 Издательство: Springer Рейтинг: Цена: 5449.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This tutorial goes through the requirements for a game engine and addresses those requirements using the applicable aspects of DirectX with C#.
Автор: Frery Alejandro C Название: Introduction to Image Processing Using R ISBN: 1447149491 ISBN-13(EAN): 9781447149491 Издательство: Springer Рейтинг: Цена: 5589.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces the statistical software R to the image processing community in an intuitive and practical manner. Those who are new to the field of image processing and to R software will find this work a useful introduction.
Автор: Luis Arg?elles Mendez Название: A Practical Introduction to Fuzzy Logic using LISP ISBN: 3319231855 ISBN-13(EAN): 9783319231853 Издательство: Springer Рейтинг: Цена: 19591.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book makes use of the LISP programming language to provide readers with the necessary background to understand and use fuzzy logic to solve simple to medium-complexity real-world problems.
Автор: Whiteley David Название: Introduction to Information Systems ISBN: 0230370500 ISBN-13(EAN): 9780230370500 Издательство: Springer Рейтинг: Цена: 10061.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A clear, student-friendly and engaging introduction to how information technology is used in business. Featuring several case studies, video interviews, thorough pedagogy and completely up-to-date chapters, this textbook will be a core resource for undergraduate students of Business Information Systems, a compulsory module in business degrees.
This textbook helps future data analysts comprehend aggregation function theory and methods in an accessible way, focusing on a fundamental understanding of the data and summarization tools. Offering a broad overview of recent trends in aggregation research, it complements any study in statistical or machine learning techniques. Readers will learn how to program key functions in R without obtaining an extensive programming background.
Sections of the textbook cover background information and context, aggregating data with averaging functions, power means, and weighted averages including the Borda count. It explains how to transform data using normalization or scaling and standardization, as well as log, polynomial, and rank transforms. The section on averaging with interaction introduces OWS functions and the Choquet integral, simple functions that allow the handling of non-independent inputs. The final chapters examine software analysis with an emphasis on parameter identification rather than technical aspects.
This textbook is designed for students studying computer science or business who are interested in tools for summarizing and interpreting data, without requiring a strong mathematical background. It is also suitable for those working on sophisticated data science techniques who seek a better conception of fundamental data aggregation. Solutions to the practice questions are included in the textbook.
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