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出版社特色：
Chapman and Hall/CRC
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Feature Engineering and Selection书籍相关信息
- ISBN：9781138079229
- 作者：Max Kuhn / Kjell Johnson
- 出版社：Chapman and Hall/CRC
- 出版时间：2019-8-2
- 页数：310
- 价格：USD 79.95
- 纸张：暂无纸张
- 装帧：Hardcover
- 开本：暂无开本
- 语言：暂无语言
- 适合人群：Data Scientists, Machine Learning Engineers, Data Analysts, Researchers in AI and Statistics, Business Analysts, Software Engineers interested in data-driven applications, Graduates and students in Computer Science and Data-related fields
- TAG：statistics / Machine Learning / Data Science / Predictive Analytics / data mining / Feature Engineering / Model Selection
- 豆瓣评分：暂无豆瓣评分
- 更新时间：2025-05-17 00:56:44
内容简介：
The process of developing predictive models includes many stages. Most resources focus on the modeling algorithms but neglect other critical aspects of the modeling process. This book describes techniques for finding the best representations of predictors for modeling and for finding the best subset of predictors for improving model performance. A variety of example data sets are used to illustrate the techniques along with R programs for reproducing the results.
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