图书标签: 数据挖掘  数据分析  机器学习  计算机  MachineLearning  编程  实践  分析   

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Overview of the data analysis process. Some pitfalls in each step, e.g. data quality.

完整的数据挖掘流程。7-9的算法部分还是太简略了，可以从其他机器学习、数据挖掘的书中弥补。

Overview of the data analysis process. Some pitfalls in each step, e.g. data quality.

刚到手，看了前面几章，完整的描述了如何做一个数据分析的过程。前面150页讲了在建模前的一些工作，后面150页简单的讲了一些机器学习的model。最可贵的是每一章最后面都简单讲了下如何用现有的工具（knime&R）实现这些方法。

教材，只看了考试要求的1-9章，也没有通读，这本书基于crisp-dm框架写的，不是技术和算法书，对数据科学的理论部分讲解很多，适合理解数据科学的业务实践和思考方式。

Data analysis is the every day work for my PhD project, but I have no idea how to do it intelligently. In the past year, I just followed my supervisor's advice, like checking this attribute, and then do the scatter plot. Sometimes, I tried a little analys...

Data analysis is the every day work for my PhD project, but I have no idea how to do it intelligently. In the past year, I just followed my supervisor's advice, like checking this attribute, and then do the scatter plot. Sometimes, I tried a little analys...

Data analysis is the every day work for my PhD project, but I have no idea how to do it intelligently. In the past year, I just followed my supervisor's advice, like checking this attribute, and then do the scatter plot. Sometimes, I tried a little analys...

Data analysis is the every day work for my PhD project, but I have no idea how to do it intelligently. In the past year, I just followed my supervisor's advice, like checking this attribute, and then do the scatter plot. Sometimes, I tried a little analys...

Data analysis is the every day work for my PhD project, but I have no idea how to do it intelligently. In the past year, I just followed my supervisor's advice, like checking this attribute, and then do the scatter plot. Sometimes, I tried a little analys...