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A practical, step-by-step approach to *** sense out of data

Making Sense of Data educates readers on the steps and issues that need to be c***idered in order to successfully complete a data ***ysis or data mining project. The author provides clear explanati*** that guide the reader to make timely and accurate decisi*** from data in almost every field of study. A step-by-step approach aids professionals in carefully ***yzing data and implementing results, leading to the development of smarter business decisi***. With a comprehensive collection of methods from both data ***ysis and data mining disciplines, this book successfully describes the issues that need to be c***idered, the steps that need to be taken, and appropriately treats technical topics to accomplish effective decision *** from data.

Readers are given a solid foundation in the procedures associated with complex data ***ysis or data mining projects and are provided with concrete discussi*** of the most universal tasks and technical soluti*** related to the ***ysis of data, including:

* Problem definiti***

* Data preparation

* Data visualization

* Data mining

* Statistics

* Grouping methods

* Predictive modeling

* Deployment issues and applicati***

Throughout the book, the author examines why these multiple approaches are needed and how these methods will solve different problems. Processes, along with methods, are carefully and meticulously outlined for use in any data ***ysis or data mining project.

From summarizing and interpreting data, to identifying non-trivial facts, patterns, and relati***hips in the data, to *** predicti*** from the data, Making Sense of Data addresses the many issues that need to be c***idered as well as the steps that need to be taken to master data ***ysis and mining.

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书籍介绍

A practical, step-by-step approach to *** sense out of data

Making Sense of Data educates readers on the steps and issues that need to be c***idered in order to successfully complete a data ***ysis or data mining project. The author provides clear explanati*** that guide the reader to make timely and accurate decisi*** from data in almost every field of study. A step-by-step approach aids professionals in carefully ***yzing data and implementing results, leading to the development of smarter business decisi***. With a comprehensive collection of methods from both data ***ysis and data mining disciplines, this book successfully describes the issues that need to be c***idered, the steps that need to be taken, and appropriately treats technical topics to accomplish effective decision *** from data.

Readers are given a solid foundation in the procedures associated with complex data ***ysis or data mining projects and are provided with concrete discussi*** of the most universal tasks and technical soluti*** related to the ***ysis of data, including:

* Problem definiti***

* Data preparation

* Data visualization

* Data mining

* Statistics

* Grouping methods

* Predictive modeling

* Deployment issues and applicati***

Throughout the book, the author examines why these multiple approaches are needed and how these methods will solve different problems. Processes, along with methods, are carefully and meticulously outlined for use in any data ***ysis or data mining project.

From summarizing and interpreting data, to identifying non-trivial facts, patterns, and relati***hips in the data, to *** predicti*** from the data, Making Sense of Data addresses the many issues that need to be c***idered as well as the steps that need to be taken to master data ***ysis and mining.