Seven Steps to Mastering Business Analysis: The Essentials, Champagne Jamie
Автор: Lathi Название: Essentials of Digital Signal Processing ISBN: 1107059321 ISBN-13(EAN): 9781107059320 Издательство: Cambridge Academ Рейтинг: Цена: 16474.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This textbook offers a fresh approach to digital signal processing (DSP), combining heuristic reasoning and physical appreciation with sound mathematical methods. It uses metaphors, analogies and creative explanations and exercises. There are 500 figures, over 170 fully worked examples, hundreds of end-of-chapter problems, and over 150 drill exercises with student solutions.
Описание: Some people are just natural innovators, right? With no apparent effort, they discover ideas for new products, services, and entire businesses. This title identifies five capabilities demonstrated by the innovators: Associating; Questioning; Observing; Experimenting; and, Networking.
Автор: Hbsp Название: Harvard business essentials - time management ISBN: 1591396336 ISBN-13(EAN): 9781591396338 Издательство: McGraw-Hill Рейтинг: Цена: 2744.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Part of the "Harvard Business Essentials" series, this work discusses the various options for how to use your time effectively to achieve the best results both personally and organizationally. It includes topics such as: prioritizing tasks, scheduling, stress management, and work/life balance.
Автор: Capra Название: The Systems View of Life ISBN: 1316616436 ISBN-13(EAN): 9781316616437 Издательство: Cambridge Academ Рейтинг: Цена: 4118.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Taking a broad sweep through history and across scientific disciplines, this volume integrates the ideas, models, and theories underlying the systems view of life into a single coherent framework. Life`s biological, cognitive, social, and ecological dimensions are presented and its philosophical, spiritual, and political implications discussed.
Описание: With this practical book, data scientists and professionals working with large-scale data applications will learn how to use Spark from R to tackle big data and big compute problems.
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