Зарегистрироваться
Восстановить пароль
FAQ по входу

Анализ больших данных (Data Mining / Big Data)

  • Без фильтрации типов файлов
B
O’Reilly Media, Inc., 2024. — 526 p. — ISBN-13: 978-1-098-10752-9. Analytics projects are frequently long, drawn-out affairs, requiring multiple teams and skills to clean, join, and eventually turn data into analysis for timely decision-making. Alteryx Designer changes all of that. With this low-code, self-service, drag-and-drop workflow platform, new and experienced data and...
  • №1
  • 17,53 МБ
  • добавлен
  • описание отредактировано
C
O’Reilly Media, Inc., 2024. — 373 р. — ISBN-13: 978-1-492-09774-7. Many organizations today analyze and share large, sensitive datasets about individuals. Whether these datasets cover healthcare details, financial records, or exam scores, it's become more difficult for organizations to protect an individual's information through deidentification, anonymization, and other...
  • №2
  • 4,03 МБ
  • добавлен
  • описание отредактировано
G
O’Reilly Media, Inc., 2019. — 224 p. — ISBN: 978-1-491-93155-4. The data lake is a daring new approach for harnessing the power of big data technology and providing convenient self-service capabilities. But is it right for your company? This book is based on discussions with practitioners and executives from more than a hundred organizations, ranging from data-driven companies...
  • №3
  • 6,50 МБ
  • добавлен
  • описание отредактировано
J
Apple Academic Press, 2021. — 426 p. — ISBN13: 978-0-42932-173-3 (eBook). The authors provide an understanding of big data and MapReduce by clearly presenting the basic terminologies and concepts. They have employed over 100 illustrations and many worked-out examples to convey the concepts and methods used in big data, the inner workings of MapReduce, and single node/multi-node...
  • №4
  • 3,28 МБ
  • добавлен
  • описание отредактировано
M
Manning Publications, 2015. — 374 p. — ISBN: 9781617290343. Целевая аудитория: опытные разработчики. В настоящее время никого не удивить большими данными и сложными архитектурными монстрами вроде Yahoo или Google, однако всё это не так тяжело, каким кажется, и работать с большими данными может любой разработчик. В этой книге описываются теоретические основы организации систем...
  • №5
  • 7,90 МБ
  • добавлен
  • описание отредактировано
Apress, 2020. — 233 p. — ISBN13: (electronic): 978-1-4842-5988-7. Discover a variety of data-mining algorithms that are useful for selecting small sets of important features from among unwieldy masses of candidates, or extracting useful features from measured variables. As a serious data miner you will often be faced with thousands of candidate features for your prediction or...
  • №6
  • 1,60 МБ
  • добавлен
  • описание отредактировано
P
Apress Media LLC., 2020. — 416 p. — ISBN13: (electronic): 978-1-4842-6576-5. Utilize web scraping at scale to quickly get unlimited amounts of free data available on the web into a structured format. This book teaches you to use Python scripts to crawl through websites at scale and scrape data from HTML and JavaScript-enabled pages and convert it into structured data formats...
  • №7
  • 10,05 МБ
  • добавлен
  • описание отредактировано
В этом разделе нет файлов.

Комментарии

В этом разделе нет комментариев.