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Big Data and Public Policy, Moody


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Цена: 18167.00р.
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При оформлении заказа до: 2025-07-28
Ориентировочная дата поставки: Август-начало Сентября
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Автор: Moody
Название:  Big Data and Public Policy
ISBN: 9783031160301
Издательство: Springer
Классификация:



ISBN-10: 3031160304
Обложка/Формат: Hardback
Страницы: 198
Вес: 0.40 кг.
Дата издания: 12.02.2023
Язык: English
Издание: 1st ed. 2023
Иллюстрации: Ix, 198 p.
Размер: 210 x 148
Читательская аудитория: Professional & vocational
Основная тема: Political Science and International Relations
Подзаголовок: Course, content and outcome
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book provides a comprehensive overview of how the course, content and outcome of policy making is affected by big data. It scrutinises the notion that big and open data makes policymaking a more rational process, in which policy makers are able to predict, assess and evaluate societal problems. It also examines how policy makers deal with big data, the problems and limitations they face, and how big data shapes policymaking on the ground. The book considers big data from various perspectives, not just the political, but also the technological, legal, institutional and ethical dimensions. The potential of big data use in the public sector is also assessed, as well as the risks and dangers this might pose. Through several extended case studies, it demonstrates the dynamics of big data and public policy. Offering a holistic approach to the study of big data, this book will appeal to students and scholars of public policy, public administration and data science, as well as those interested in governance and politics.
Дополнительное описание: Chapter 1: Introduction.- Chapter 2: Big Data.- Chapter 3: Public Policy Making.- Chapter 4: Big Data and Public Policy Making.- Chapter 5: Research Strategy.- Chapter 6: DARE in Rotterdam.- Chapter 7: Food Security in Denmark.- Chapter 8: Noise Pollution



How to Prove It : A Structured Approach

Автор: Daniel J. Velleman
Название: How to Prove It : A Structured Approach
ISBN: 1108439535 ISBN-13(EAN): 9781108439534
Издательство: Cambridge Academ
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Цена: 5861.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Proofs play a central role in advanced mathematics and theoretical computer science, and this bestselling text`s third edition will help students transition from solving problems to proving theorems by teaching them the techniques needed to read and write proofs, with a new chapter on number theory and over 150 new exercises.

The Elements of Statistical Learning

Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman
Название: The Elements of Statistical Learning
ISBN: 0387848576 ISBN-13(EAN): 9780387848570
Издательство: Springer
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Цена: 10480.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods. As before, it covers the conceptual framework for statistical data in our rapidly expanding computerized world.

Computer Age Statistical Inference, Student Edition

Автор: Bradley Efron , Trevor Hastie
Название: Computer Age Statistical Inference, Student Edition
ISBN: 1108823416 ISBN-13(EAN): 9781108823418
Издательство: Cambridge Academ
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Цена: 5069.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Computing power has revolutionized the theory and practice of statistical inference. Now in paperback, and fortified with 130 class-tested exercises, this book explains modern statistical thinking from classical theories to state-of-the-art prediction algorithms. Anyone who applies statistical methods to data will value this landmark text.

Data Structures and Algorithms Made Easy: Data Structures and Algorithmic Puzzles

Автор: Karumanchi Narasimha
Название: Data Structures and Algorithms Made Easy: Data Structures and Algorithmic Puzzles
ISBN: 819324527X ISBN-13(EAN): 9788193245279
Издательство: Неизвестно
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Цена: 8734.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

Peeling Data Structures and Algorithms:

Table of Contents: goo.gl/JFMgiU
Sample Chapter: goo.gl/n2Hk4i
Found Issue? goo.gl/forms/4Gt72YO81I
Videos: goo.gl/BcHq74

"Data Structures And Algorithms Made Easy: Data Structures and Algorithmic Puzzles" is a book that offers solutions to complex data structures and algorithms. There are multiple solutions for each problem and the book is coded in C/C++, it comes handy as an interview and exam guide for computer scientists.

A handy guide of sorts for any computer science professional, Data Structures And Algorithms Made Easy: Data Structures and Algorithmic Puzzles is a solution bank for various complex problems related to data structures and algorithms. It can be used as a reference manual by those readers in the computer science industry. This book serves as guide to prepare for interviews, exams, and campus work. In short, this book offers solutions to various complex data structures and algorithmic problems.

Topics Covered:

  1. Introduction
  2. Recursion and Backtracking
  3. Linked Lists
  4. Stacks
  5. Queues
  6. Trees
  7. Priority Queue and Heaps
  8. Disjoint Sets ADT
  9. Graph Algorithms
  10. Sorting
  11. Searching
  12. Selection Algorithms Medians]
  13. Symbol Tables
  14. Hashing
  15. String Algorithms
  16. Algorithms Design Techniques
  17. Greedy Algorithms
  18. Divide and Conquer Algorithms
  19. Dynamic Programming
  20. Complexity Classes
  21. Miscellaneous Concepts
Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data

Автор: Maosong Sun, Xiaojie Wang, Baobao Chang
Название: Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data
ISBN: 3319690043 ISBN-13(EAN): 9783319690049
Издательство: Springer
Рейтинг:
Цена: 5300.00 р.
Наличие на складе: Есть (3 шт.)
Описание: This book constitutes the proceedings of the 16th China National Conference on Computational Linguistics, CCL 2017, and the 5th International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2017, held in Nanjing, China, in October 2017. Minority language information processing.

Sublinear Computation Paradigm: Algorithmic Revolution in the Big Data Era

Автор: Katoh Naoki, Higashikawa Yuya, Ito Hiro
Название: Sublinear Computation Paradigm: Algorithmic Revolution in the Big Data Era
ISBN: 9811640947 ISBN-13(EAN): 9789811640940
Издательство: Springer
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Цена: 5589.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This open access book gives an overview of cutting-edge work on a new paradigm called the "sublinear computation paradigm," which was proposed in the large multiyear academic research project "Foundations of Innovative Algorithms for Big Data." That project ran from October 2014 to March 2020, in Japan.

The Power of Data: Driving Climate Change with Data Science and Artificial Intelligence Innovations

Автор: Hassanien E.
Название: The Power of Data: Driving Climate Change with Data Science and Artificial Intelligence Innovations
ISBN: 3031224558 ISBN-13(EAN): 9783031224553
Издательство: Springer
Рейтинг:
Цена: 22359.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book discusses the advances of artificial intelligence and data sciences in climate change and provides the power of the climate data that is used as inputs to artificial intelligence systems. It is a good resource for researchers and professionals who work in the field of data sciences, artificial intelligence, and climate change applications.

Noise Filtering for Big Data Analytics

Автор: Koushik Ghosh, Souvik Bhattacharyya
Название: Noise Filtering for Big Data Analytics
ISBN: 3110697092 ISBN-13(EAN): 9783110697094
Издательство: Walter de Gruyter
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Цена: 26024.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book explains how to perform data de-noising, in large scale, with a satisfactory level of accuracy. Three main issues are considered. Firstly, how to eliminate the error propagation from one stage to next stages while developing a filtered model.

Secondly, how to maintain the positional importance of data whilst purifying it. Finally, preservation of memory in the data is crucial to extract smart data from noisy big data. If, after the application of any form of smoothing or filtering, the memory of the corresponding data changes heavily, then the final data may lose some important information.

This may lead to wrong or erroneous conclusions. But, when anticipating any loss of information due to smoothing or filtering, one cannot avoid the process of denoising as on the other hand any kind of analysis of big data in the presence of noise can be misleading. So, the entire process demands very careful execution with efficient and smart models in order to effectively deal with it.

Synergistic interaction of big data with cloud computing for Industry 4.0 /

Автор: Edited By Sheetal S. Zalte-Gaikwad, Indranath Chat
Название: Synergistic interaction of big data with cloud computing for Industry 4.0 /
ISBN: 1032245085 ISBN-13(EAN): 9781032245089
Издательство: Taylor&Francis
Рейтинг:
Цена: 23734.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The goal of this book is to help aspiring readers and researchers understand the convergence of Big Data with the Cloud. This book presents the latest information on the adaptation and implementation of Big Data technologies in various cloud domains and Industry 4.0.

The Science of Science

Автор: Wang Dashun, Barabбsi Albert-Lбszlу
Название: The Science of Science
ISBN: 1108492665 ISBN-13(EAN): 9781108492669
Издательство: Cambridge Academ
Рейтинг:
Цена: 19737.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This is the first comprehensive overview of the exciting field of the `science of science`. With anecdotes and detailed, easy-to-follow explanations of the research, this book is accessible to all scientists, policy makers, and administrators with an interest in the wider scientific enterprise.

Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics

Автор: Sujatha R., Aarthy S. L., Vettriselvan R.
Название: Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics
ISBN: 0367466635 ISBN-13(EAN): 9780367466633
Издательство: Taylor&Francis
Рейтинг:
Цена: 17609.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Data science revolves around two giants, which are big data analytics and deep learning. It is becoming challenging to handle and retrieve useful information due to how fast data is expanding. This book presents the technologies and tools to simplify and streamline the formation of big data along with deep learning systems.

Big Data and Artificial Intelligence for Healthcare Applications

Автор: Saxena Ankur, Brault Nicolas, Rashid Shazia
Название: Big Data and Artificial Intelligence for Healthcare Applications
ISBN: 036755495X ISBN-13(EAN): 9780367554958
Издательство: Taylor&Francis
Рейтинг:
Цена: 22202.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book covers a wide range of topics on the role of Artificial Intelligence, Machine Learning, and Big Data for healthcare applications and deals with the ethical issues and concerns associated with it. This book explores the applications in different areas of healthcare and highlights the current research.


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