Arthur Kordon's Books

Applying Data Science

How to Create Value with Artificial Intelligence

By: Arthur K. Kordon

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Applying Data Science

How to Create Value with Artificial Intelligence

By: Arthur K. Kordon

This book offers practical guidelines on creating value from the application of data science based on selected artificial intelligence methods. In Part I, the author introduces a problem-driven approach to implementing AI-based data science and offers practical explanations of key technologies: machine learning, deep learning, decision trees and random forests, evolutionary computation, swarm intelligence, and intelligent agents. In Part II, he describes the main steps in creating AI-based data science solutions for business problems, including problem knowledge acquisition, data preparation, data analysis, model development, and model deployment lifecycle. Finally, in Part III the author illustrates the power of AI-based data science with successful applications in manufacturing and business. He also shows how to introduce this technology in a business setting and guides the reader on how to build the appropriate infrastructure and develop the required skillsets. The book is ideal for data scientists who will implement the proposed methodology and techniques in their projects. It is also intended to help business leaders and entrepreneurs who want to create competitive advantage by using AI-based data science, as well as academics and students looking for an industrial view of this discipline.

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Page Count

511

Publisher

Springer Nature

Published Date

ISBN 10

3030363759

ISBN 13

9783030363758

Applying Data Science

How to Create Value with Artificial Intelligence

By: Arthur K. Kordon

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Applying Data Science

How to Create Value with Artificial Intelligence

By: Arthur K. Kordon

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511

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Springer Nature

Published Date

ISBN 10

3030363759

ISBN 13

9783030363758

Applying Computational Intelligence

How to Create Value

By: Arthur Kordon

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Applying Computational Intelligence

How to Create Value

By: Arthur Kordon

In theory, there is no difference between theory and practice. But, in practice, there is. Jan L. A. van de Snepscheut The ?ow of academic ideas in the area of computational intelligence has penetrated industry with tremendous speed and persistence. Thousands of applications have proved the practical potential of fuzzy logic, neural networks, evolutionary com- tation, swarm intelligence, and intelligent agents even before their theoretical foundation is completely understood. And the popularity is rising. Some software vendors have pronounced the new machine learning gold rush to “Transfer Data into Gold”. New buzzwords like “data mining”, “genetic algorithms”, and “swarm optimization” have enriched the top executives’ vocabulary to make them look more “visionary” for the 21st century. The phrase “fuzzy math” became political jargon after being used by US President George W. Bush in one of the election debates in the campaign in 2000. Even process operators are discussing the perf- mance of neural networks with the same passion as the performance of the Dallas Cowboys. However, for most of the engineers and scientists introducing computational intelligence technologies into practice, looking at the growing number of new approaches, and understanding their theoretical principles and potential for value creation becomes a more and more dif?cult task.

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Page Count

470

Publisher

Springer Science & Business Media

Published Date

ISBN 10

3540699139

ISBN 13

9783540699132

Applied Data Mining for Forecasting Using SAS

By: Tim Rey,Arthur Kordon,Chip Wells

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Applied Data Mining for Forecasting Using SAS

By: Tim Rey,Arthur Kordon,Chip Wells

Applied Data Mining for Forecasting Using SAS, by Tim Rey, Arthur Kordon, and Chip Wells, introduces and describes approaches for mining large time series data sets. Written for forecasting practitioners, engineers, statisticians, and economists, the book details how to select useful candidate input variables for time series regression models in environments when the number of candidates is large, and identifies the correlation structure between selected candidate inputs and the forecast variable.

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Page Count

526

Publisher

SAS Institute

Published Date

ISBN 10

1629597996

ISBN 13

9781629597997

Monitoring and Control of Information-Poor Systems

An Approach based on Fuzzy Relational Models

By: Arthur L. Dexter

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Monitoring and Control of Information-Poor Systems

An Approach based on Fuzzy Relational Models

By: Arthur L. Dexter

The monitoring and control of a system whose behaviour is highly uncertain is an important and challenging practical problem. Methods of solution based on fuzzy techniques have generated considerable interest, but very little of the existing literature considers explicit ways of taking uncertainties into account. This book describes an approach to the monitoring and control of information-poor systems that is based on fuzzy relational models which generate fuzzy outputs. The first part of Monitoring and Control of Information-Poor Systems aims to clarify why design decisions must take account of the uncertainty associated with optimal choices, and to explain how a fuzzy relational model can be used to generate a fuzzy output, which reflects the uncertainties associated with its predictions. Part two gives a brief introduction to fuzzy decision-making and shows how it can be used to design a predictive control scheme that is suitable for controlling information-poor systems using inaccurate measurements. Part three describes different ways in which fuzzy relational models can be generated online and explains the practical issues associated with their identification and application. The final part of the book provides examples of the use of the previously described techniques in real applications. Key features: Describes techniques applicable to a wide range of engineering, environmental, medical, financial and economic applications Uses simple examples to help explain the basic techniques for dealing with uncertainty Describes a novel design approach based on the use of fuzzy relational models Considers practical issues associated with applying the techniques to real systems Monitoring and Control of Information-Poor Systems forms an invaluable resource for a wide range of graduate students, and is also a comprehensive reference for researchers and practitioners working on problems involving mathematical modelling and control.

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Page Count

333

Publisher

John Wiley & Sons

Published Date

ISBN 10

1119940281

ISBN 13

9781119940289

Applying Computational Intelligence

How to Create Value

By: Arthur Kordon

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Applying Computational Intelligence

How to Create Value

By: Arthur Kordon

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Solve jigsaw puzzle

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Page Count

470

Publisher

Springer Science & Business Media

Published Date

ISBN 10

3540699139

ISBN 13

9783540699132

Applied Data Mining for Forecasting Using SAS

By: Tim Rey,Arthur Kordon,Chip Wells

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Applied Data Mining for Forecasting Using SAS

By: Tim Rey,Arthur Kordon,Chip Wells

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N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

526

Publisher

SAS Institute

Published Date

ISBN 10

1629597996

ISBN 13

9781629597997

Book's by Arthur Kordon

Applying Data Science

Applying Data Science

Applying Data Science

Applying Data Science

Applying Computational Intelligence

Applying Computational Intelligence

Applied Data Mining for Forecasting Using SAS

Applied Data Mining for Forecasting Using SAS

Monitoring and Control of Information-Poor Systems

Monitoring and Control of Information-Poor Systems

Applying Computational Intelligence

Applying Computational Intelligence

Applied Data Mining for Forecasting Using SAS

Applied Data Mining for Forecasting Using SAS

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