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Data Science Using Oracle Data Miner and Oracle R Enterprise, Das


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Цена: 41920.00T
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Наличие: Поставка под заказ.  Есть в наличии на складе поставщика.
Склад Америка: 159 шт.  
При оформлении заказа до: 2025-07-28
Ориентировочная дата поставки: Август-начало Сентября
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Автор: Das
Название:  Data Science Using Oracle Data Miner and Oracle R Enterprise
ISBN: 9781484226131
Издательство: Springer
Классификация:

ISBN-10: 1484226135
Обложка/Формат: Paperback
Страницы: 289
Вес: 0.49 кг.
Дата издания: 2016
Язык: English
Иллюстрации: 29 black & white illustrations, 289 colour illustrations, biography
Размер: 157 x 239 x 20
Читательская аудитория: Professional & vocational
Основная тема: Professional Computing
Подзаголовок: Transform Your Business Systems into an Analytical Powerhouse
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Automate the predictive analytics process using Oracle Data Miner and Oracle R Enterprise. This book talks about how both these technologies can provide a framework for in-database predictive analytics. Youll see a unified architecture and embedded workflow to automate various analytics steps such as data preprocessing, model creation, and storing final model output to tables.Youll take a deep dive into various statistical models commonly used in businesses and how they can be automated for predictive analytics using various SQL, PLSQL, ORE, ODM, and native R packages. Youll get to know various options available in the ODM workflow for driving automation. Also, youll get an understanding of various ways to integrate ODM packages, ORE, and native R packages using PLSQL for automating the processes.Data Science Automation Using Oracle Data Miner and Oracle R Enterprise starts with an introduction to business analytics, covering why automation is necessary and the level of complexity in automation at each analytic stage. Then, it focuses on how predictive analytics can be automated by using Oracle Data Miner and Oracle R Enterprise. Also, it explains when and why ODM and ORE are to be used together for automation.The subsequent chapters detail various statistical processes used for predictive analytics such as calculating attribute importance, clustering methods, regression analysis, classification techniques, ensemble models, and neural networks. In these chapters you will also get to understand the automation processes for each of these statistical processes using ODM and ORE along with their application in a real-life business use case.What youll learnDiscover the functionality of Oracle Data Miner and Oracle R EnterpriseGain methods to perform in-database predictive analyticsUse Oracles SQL and PLSQL APIs for building analytical solutionsAcquire knowledge of common and widely-used business statistical analysis techniquesWho this book is forIT executives, BI architects, Oracle architects and developers, R users and statisticians.
Дополнительное описание: IntroductionChapter 1 : Getting Started with Oracle Advanced Analytics.- Chapter 2 : Installation and Hello World.- Chapter 3: Clustering Methods.- Chapter 4: Association Rules.- Chapter 5: Regression Analysis.- Chapter 6: Classification Techniques.- Chap


Introduction to Computation and Programming Using Python: With Application to Understanding Data

Автор: Guttag John V.
Название: Introduction to Computation and Programming Using Python: With Application to Understanding Data
ISBN: 0262529629 ISBN-13(EAN): 9780262529624
Издательство: MIT Press
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Цена: 30630.00 T
Наличие на складе: Невозможна поставка.
Описание:

The new edition of an introductory text that teaches students the art of computational problem solving, covering topics ranging from simple algorithms to information visualization.

This book introduces students with little or no prior programming experience to the art of computational problem solving using Python and various Python libraries, including PyLab. It provides students with skills that will enable them to make productive use of computational techniques, including some of the tools and techniques of data science for using computation to model and interpret data. The book is based on an MIT course (which became the most popular course offered through MIT's OpenCourseWare) and was developed for use not only in a conventional classroom but in in a massive open online course (MOOC). This new edition has been updated for Python 3, reorganized to make it easier to use for courses that cover only a subset of the material, and offers additional material including five new chapters.

Students are introduced to Python and the basics of programming in the context of such computational concepts and techniques as exhaustive enumeration, bisection search, and efficient approximation algorithms. Although it covers such traditional topics as computational complexity and simple algorithms, the book focuses on a wide range of topics not found in most introductory texts, including information visualization, simulations to model randomness, computational techniques to understand data, and statistical techniques that inform (and misinform) as well as two related but relatively advanced topics: optimization problems and dynamic programming. This edition offers expanded material on statistics and machine learning and new chapters on Frequentist and Bayesian statistics.


Oracle Database 12c PL/SQL Programming

Автор: McLaughlin Michael
Название: Oracle Database 12c PL/SQL Programming
ISBN: 0071812431 ISBN-13(EAN): 9780071812436
Издательство: McGraw-Hill
Рейтинг:
Цена: 94940.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A complete update of the essential desktop reference for PL/SQL, rewritten and expanded by to highlight the massive changes in Oracle Database 12c.


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