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Match Analysis, Memmert, Daniel


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Автор: Memmert, Daniel
Название:  Match Analysis
ISBN: 9780367750947
Издательство: Taylor&Francis
Классификация:

ISBN-10: 0367750945
Обложка/Формат: Hardback
Страницы: 282
Вес: 0.45 кг.
Дата издания: 15.11.2021
Язык: English
Иллюстрации: 5 tables, black and white; 23 line drawings, black and white; 6 halftones, black and white; 29 illustrations, black and white
Размер: 246 x 174
Читательская аудитория: Undergraduate
Подзаголовок: How to use data in professional sport
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Поставляется из: Европейский союз


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.
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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.

Machine Learning Algorithms for Engineering Applications: Future Trends and Research Directions

Автор: Parmanand Astya, Prasenjit Chatterjee, Sudeshna Chakraborty
Название: Machine Learning Algorithms for Engineering Applications: Future Trends and Research Directions
ISBN: 1685074499 ISBN-13(EAN): 9781685074494
Издательство: Nova Science
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Цена: 22491.00 р.
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Описание: Machine learning is a vital part of numerous academic and financial applications, in areas ranging from health care and treatment to finding relevant information in social networks. Large organisations thoughtfully apply machine learning algorithms with extensive research teams. The purpose of this book is to provide an intellectual introduction to statistical or machine learning (ML) techniques for those that would not normally be exposed to such approaches during their typical required statistical exercise.

Statistical analysis is an integral part of machine learning and can be described as a form of it, often even utilising well-known and familiar techniques, that has a different focus than traditional analytical practice in applied disciplines. The key notion is that flexible, automatic approaches are used to detect patterns within the data, with a primary focus on making predictions on future data.

Practical Data Analysis

Автор: Hector Cuesta
Название: Practical Data Analysis
ISBN: 1785289713 ISBN-13(EAN): 9781785289712
Издательство: Amazon Internet
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Цена: 10114.00 р.
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Practical reliability data analysis for

Автор: Brooker, Darcy
Название: Practical reliability data analysis for
ISBN: 1630818275 ISBN-13(EAN): 9781630818272
Издательство: Artech House
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Цена: 17371.00 р.
Наличие на складе: Нет в наличии.

Описание: Practical Reliability Data Analysis for Non-Reliability Engineers.

Big data analytics with spark

Автор: Guller, Mohammed
Название: Big data analytics with spark
ISBN: 1484209656 ISBN-13(EAN): 9781484209653
Издательство: Springer
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Цена: 5309.00 р.
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Описание: Big Data Analytics with Spark is a step-by-step guide for learning Spark, which is an open-source fast and general-purpose cluster computing framework for large-scale data analysis.

Exploratory Data Analysis in Business and Economics

Автор: Cleff Thomas
Название: Exploratory Data Analysis in Business and Economics
ISBN: 3319015168 ISBN-13(EAN): 9783319015163
Издательство: Springer
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Цена: 9781.00 р.
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Описание: Exploratory Data Analysis in Business and Economics

Intelligent Data Analysis and Applications

Автор: Pan
Название: Intelligent Data Analysis and Applications
ISBN: 3319484982 ISBN-13(EAN): 9783319484983
Издательство: Springer
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Цена: 23757.00 р.
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Описание: This book gathers papers presented at the ECC 2016, the Third Euro-China Conference on Intelligent Data Analysis and Applications, which was held in Fuzhou City, China from November 7 to 9, 2016. The aim of the ECC is to provide an internationally respected forum for scientific research in the broad areas of intelligent data analysis, computational intelligence, signal processing, and all associated applications of artificial intelligence (AI).The third installment of the ECC was jointly organized by Fujian University of Technology, China, and VSB-Technical University of Ostrava, Czech Republic. The conference was co-sponsored by Taiwan Association for Web Intelligence Consortium, and Immersion Co., Ltd.

Applied Statistics

Автор: Snell
Название: Applied Statistics
ISBN: 0412353202 ISBN-13(EAN): 9780412353208
Издательство: Taylor&Francis
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Цена: 12554.00 р.
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Описание: GENSTAT is a general purpose statistical computing system with a flexible command language operating on a variety of data structures. It may be used on a number of computer ranges, either interactively for exploratory data analysis, or in batch mode for standard data analysis.

The great flexibility of GENSTAT is demonstrated in this handbook by analysing the wide range of examples discussed in Applied Statistics - Principles and Examples (Cox and Snell, 1981). GENSTAT programs are listed for each of the examples. Most of the data sets are small but often it is these seemingly small problems which involve the most tricky statistical and computational procedures. This handbook is self-contained although for a full description of the analysis and interpretation it should be used in parallel with Applied Statistics - Principles and Examples.

Data acquisition from hd vehicles using j1939 can bus

Автор: Walter, Eric Walter, Richard
Название: Data acquisition from hd vehicles using j1939 can bus
ISBN: 0768081726 ISBN-13(EAN): 9780768081725
Издательство: Mare Nostrum (Eurospan)
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Цена: 14969.00 р.
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Описание: Provides a unique road map for the data acquisition user. The authors give a clear and concise description of the CAN protocol plus a review of all 19 parts of the SAE International J1939 standard family. Pertinent standards are illuminated with tables, graphs and examples. Practical applications covered are calculating fuel economy, duty cycle analysis, and capturing intermittent faults.

Match Analysis: How to Use Data in Professional Sport

Автор: Memmert Daniel
Название: Match Analysis: How to Use Data in Professional Sport
ISBN: 0367750937 ISBN-13(EAN): 9780367750930
Издательство: Taylor&Francis
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Цена: 5970.00 р.
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Описание: Match Analysis is the first book to examine this topic through three types of data sets; video, event, and position data and show how to interpret this data and apply the findings for better team and individual sport performance.

A First Course in Random Matrix Theory

Автор: Marc Potters, Jean-Philippe Bouchaud
Название: A First Course in Random Matrix Theory
ISBN: 1108488080 ISBN-13(EAN): 9781108488082
Издательство: Cambridge Academ
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Цена: 9186.00 р.
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Описание: Classical statistical tools that handled real-life data have become inadequate upon the emergence of Big Data. Random matrix theory and free calculus introduced here present valuable solutions to the complex challenges posed by large datasets. Real world applications make it an essential tool for physicists, engineers, data analysts and economists.

The Science of Science

Автор: Wang Dashun, Barabбsi Albert-Lбszlу
Название: The Science of Science
ISBN: 1108492665 ISBN-13(EAN): 9781108492669
Издательство: Cambridge Academ
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Цена: 19737.00 р.
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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.


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