坛子里已经有 II 了,我来传个 I
Description
A practical, step-by-step approach to making sense out of data
Making Sense of Data educates readers on the steps and issues that needto be considered in order to successfully complete a data analysis ordata mining project. The author provides clear explanations that guidethe reader to make timely and accurate decisions from data in almostevery field of study. A step-by-step approach aids professionals incarefully analyzing data and implementing results, leading to thedevelopment of smarter business decisions. With a comprehensivecollection of methods from both data analysis and data miningdisciplines, this book successfully describes the issues that need tobe considered, the steps that need to be taken, and appropriatelytreats technical topics to accomplish effective decision making fromdata.
Readers are given a solid foundation in the procedures associated withcomplex data analysis or data mining projects and are provided withconcrete discussions of the most universal tasks and technicalsolutions related to the analysis of data, including:
* Problem definitions
* Data preparation
* Data visualization
* Data mining
* Statistics
* Grouping methods
* Predictive modeling
* Deployment issues and applications
Throughout the book, the author examines why these multiple approachesare needed and how these methods will solve different problems.Processes, along with methods, are carefully and meticulously outlinedfor use in any data analysis or data mining project.
From summarizing and interpreting data, to identifying non-trivialfacts, patterns, and relationships in the data, to making predictionsfrom the data, Making Sense of Data addresses the many issues that needto be considered as well as the steps that need to be taken to masterdata analysis and mining.