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Data Analytics: Systems Engineering - Cybersecurity - Project Management

Автор: Limpopo5 от 2021-06-10, 18:42:35
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Data Analytics: Systems Engineering - Cybersecurity - Project ManagementНазвание: Data Analytics: Systems Engineering - Cybersecurity - Project Management
Автор: Christopher Greco
Издательство: Mercury Learning And Information LLC
Год: 2021
Страниц: 147
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Data analytics is creeping into the lexicon of our daily language. This book gives the reader a perspective as to the overall data analytics skill set, starting with a primer on statistics, and works toward the application of those methods. There are a variety of formulas and algorithms used in the data analytics process. These formulas can be plugged into whatever software application the reader uses to obtain the answer they need.

Statistics. Volume 3: Categorical and Time Dependent Data Analysis

Автор: Limpopo5 от 2021-06-10, 14:42:20
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Statistics. Volume 3: Categorical and Time Dependent Data AnalysisНазвание: Statistics. Volume 3: Categorical and Time Dependent Data Analysis
Автор: Kunihiro Suzuki
Издательство: Nova Science Publishers, Inc.
Год: 2019
Страниц: 490
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

We utilize statistics when we evaluate TV program ratings, predict voting outcomes, prepare stock, predict the amount of sales, and evaluate the effectiveness of medical treatment. We want to predict the results not on the basis of personal experience or images, but on the basis of corresponding data. The accuracy of the prediction depends on the data and related theories. It is easy to show input and output data associated with a model without understanding it. However, the models themselves are not perfect, because they contain assumptions and approximations in general. Therefore, the application of the model to the data should be careful. We should know what model we should apply to the data, what parameters are assumed in the model, and what we can state based on the results of the models.

Applied User Data Collection and Analysis Using JavaScript and PHP

Автор: Limpopo5 от 2021-06-06, 12:44:39
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Applied User Data Collection and Analysis Using JavaScript and PHPНазвание: Applied User Data Collection and Analysis Using javascript and PHP
Автор: Kyle Goslin, Markus Hofmann
Издательство: Chapman and Hall/CRC
Год: 2021
Страниц: 346
Язык: английский
Формат: pdf (true)
Размер: 10.6 MB

Applied User Data Collection and Analysis Using javascript and PHP is designed to provide the technical skills and competency to gather a wide range of user data from web applications in both active and passive methods. This is done by providing the reader with real-world examples of how a variety of different javascript- and PHP-based libraries can be used to gather data using custom feedback forms and embedded data gathering tools.

A History of Data Visualization and Graphic Communication

Автор: Limpopo5 от 2021-06-05, 11:50:21
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A History of Data Visualization and Graphic CommunicationНазвание: A History of Data Visualization and Graphic Communication
Автор: Michael Friendly, Howard Wainer
Издательство: Harvard University Press
Год: 2021
Страниц: 337
Язык: английский
Формат: pdf (true)
Размер: 19.9 MB

A comprehensive history of data visualization―its origins, rise, and effects on the ways we think about and solve problems. With complex information everywhere, graphics have become indispensable to our daily lives. Navigation apps show real-time, interactive traffic data. A color-coded map of exit polls details election balloting down to the county level. Charts communicate stock market trends, government spending, and the dangers of epidemics. A History of Data Visualization and Graphic Communication tells the story of how graphics left the exclusive confines of scientific research and became ubiquitous. As data visualization spread, it changed the way we think.

Machine Intelligence and Data Analytics for Sustainable Future Smart Cities

Автор: Limpopo5 от 2021-06-04, 14:21:20
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Machine Intelligence and Data Analytics for Sustainable Future Smart CitiesНазвание: Machine Intelligence and Data Analytics for Sustainable Future Smart Cities
Автор: Uttam Ghosh, Yassine Maleh
Издательство: Springer
Год: 2021
Страниц: 413
Язык: английский
Формат: pdf (true)
Размер: 15.2 MB

This book presents the latest advances in computational intelligence and data analytics for sustainable future smart cities. It focuses on computational intelligence and data analytics to bring together the smart city and sustainable city endeavors. It also discusses new models, practical solutions and technological advances related to the development and the transformation of cities through machine intelligence and Big Data models and techniques. It aspires to provide a relevant reference for students, researchers, engineers, and professionals working in this area or those interested in grasping its diverse facets and exploring the latest advances on machine intelligence and data analytics for sustainable future smart city applications.

Categorical Data Analysis for the Behavioral and Social Sciences, 2nd Edition

Автор: Limpopo5 от 2021-06-02, 11:05:04
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Categorical Data Analysis for the Behavioral and Social Sciences, 2nd EditionНазвание: Categorical Data Analysis for the Behavioral and Social Sciences, 2nd Edition
Автор: Razia Azen, Cindy M. Walker
Издательство: Routledge
Год: 2021
Страниц: 327
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Featuring a practical approach with numerous examples, the second edition of Categorical Data Analysis for the Behavioral and Social Sciences focuses on helping the reader develop a conceptual understanding of categorical methods, making it a much more accessible text than others on the market. The authors cover common categorical analysis methods and emphasize specific research questions that can be addressed by each analytic procedure, including how to obtain results using SPSS, SAS, and R, so that readers are able to address the research questions they wish to answer.

Self-Service Data Analytics and Governance for Managers

Автор: Limpopo5 от 2021-05-28, 03:41:49
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Self-Service Data Analytics and Governance for ManagersНазвание: Self-Service Data Analytics and Governance for Managers
Автор: Nathan E. Myers, Gregory Kogan
Издательство: Wiley
Год: 2021
Страниц: 352
Язык: английский
Формат: epub
Размер: 10.1 MB

Project governance, investment governance, and risk governance precepts are woven together in Self-Service Data Analytics and Governance for Managers, equipping managers to structure the inevitable chaos that can result as end-users take matters into their own handsю Motivated by the promise of control and efficiency benefits, the widespread adoption of data analytics tools has created a new fast-moving environment of digital transformation in the finance, accounting, and operations world, where entire functions spend their days processing in spreadsheets. With the decentralization of application development as users perform their own analysis on data sets and automate spreadsheet processing without the involvement of IT, governance must be revisited to maintain process control in the new environment.

Reverse Clustering: Formulation, Interpretation and Case Studies

Автор: Limpopo5 от 2021-05-28, 03:31:56
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Reverse Clustering: Formulation, Interpretation and Case StudiesНазвание: Reverse Clustering: Formulation, Interpretation and Case Studies
Автор: Jan W. Owsinski, Jarosław Stanczak, Karol Opara
Издательство: Springer
Год: 2021
Страниц: 177
Язык: английский
Формат: pdf (true), epub
Размер: 18.7 MB

This book presents a new perspective on and a new approach to a wide spectrum of situations, related to data analysis, actually, a kind of a new paradigm. Namely, for a given data set and its partition, whose origins may be of any kind, the authors try to reconstruct this partition on the basis of the data set given, using very broadly conceived clustering procedure. The main advantages of this new paradigm concern the substantive aspects of the particular cases considered, mainly in view of the variety of interpretations, which can be assumed in the framework of the paradigm.

Applied Time Series Analysis: A Practical Guide to Modeling and Forecasting

Автор: Limpopo5 от 2021-05-07, 03:50:39
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Applied Time Series Analysis: A Practical Guide to Modeling and ForecastingНазвание: Applied Time Series Analysis: A Practical Guide to Modeling and Forecasting
Автор: Terence C. Mills
Издательство: Academic Press, Elsevier
Год: 2019
Страниц: 337
Язык: английский
Формат: pdf (true), epub
Размер: 16.2 MB

Written for those who need an introduction, Applied Time Series Analysis reviews applications of the popular econometric analysis technique across disciplines. Carefully balancing accessibility with rigor, it spans economics, finance, economic history, climatology, meteorology, and public health. Terence Mills provides a practical, step-by-step approach that emphasizes core theories and results without becoming bogged down by excessive technical details. Including univariate and multivariate techniques, Applied Time Series Analysis provides data sets and program files that support a broad range of multidisciplinary applications, distinguishing this book from others.

Leading with AI and Analytics: Build Your Data Science IQ to Drive Business Value

Автор: Limpopo5 от 2021-04-22, 17:46:01
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Leading with AI and Analytics: Build Your Data Science IQ to Drive Business ValueНазвание: Leading with AI and Analytics: Build Your Data Science IQ to Drive Business Value
Автор: Eric Anderson, Florian Zettelmeyer
Издательство: McGraw-Hill Education
Год: 2021
Страниц: 353
Язык: английский
Формат: epub
Размер: 10.1 MB

Lead your organization to become evidence-driven. Data. It’s the benchmark that informs corporate projections, decision-making, and analysis. But, why do many organizations that see themselves as data-driven fail to thrive? In Leading with AI and Analytics, two renowned experts from the Kellogg School of Management show business leaders how to transform their organization to become evidence-driven, which leads to real, measurable changes that can help propel their companies to the top of their industries. The availability of unprecedented technology-enabled tools has made AI (Artificial Intelligence) an essential component of business analytics. But what’s often lacking are the leadership skills to integrate these technologies to achieve maximum value.

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