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[书籍介绍] Hands-On Ensemble Learning with R (PDF) [推广有奖]

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igs816 在职认证  发表于 2018-10-29 14:19:34 |显示全部楼层 |坛友微信交流群
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by Prabhanjan Narayanachar Tattar
English | 2018 | ISBN: 1788624149 | 376 Pages | PDF | 7.35 MB
Ensemble techniques are used for combining two or more similar or dissimilar machine learning algorithms to create a stronger model. Such a model delivers superior prediction power and can give your datasets a boost in accuracy.

begins with the important statistical resampling methods. You will then walk through the central trilogy of ensemble techniques – bagging, random forest, and boosting – then you'll learn how they can be used to provide greater accuracy on large datasets using popular R packages. You will learn how to combine model predictions using different machine learning algorithms to build ensemble models. In addition to this, you will explore how to improve the performance of your ensemble models.

By the end of this book, you will have learned how machine learning algorithms can be combined to reduce common problems and build simple efficient ensemble models with the help of real-world examples.

What you will learn:

Carry out an essential review of re-sampling methods, bootstrap, and jackknife
Explore the key ensemble methods: bagging, random forests, and boosting
Use multiple algorithms to make strong predictive models
Enjoy a comprehensive treatment of boosting methods
Supplement methods with statistical tests, such as ROC
Walk through data structures in classification, regression, survival, and time series data
Use the supplied R code to implement ensemble methods
Learn stacking method to combine heterogeneous machine learning models

This book is for you if you are a data scientist or machine learning developer who wants to implement machine learning techniques by building ensemble models with the power of R. You will learn how to combine different machine learning algorithms to perform efficient data processing. Basic knowledge of machine learning techniques and programming knowledge of R would be an added advantage.

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peterxu1969 发表于 2018-10-29 14:34:14 |显示全部楼层 |坛友微信交流群
thanks for giving

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duoduoduo 在职认证  发表于 2018-10-29 14:34:40 |显示全部楼层 |坛友微信交流群
有点意思啊
这个内容

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dxystata 发表于 2018-10-29 14:35:57 |显示全部楼层 |坛友微信交流群
谢谢分享!

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谢谢分享好书

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20115326 学生认证  发表于 2018-10-29 15:34:58 |显示全部楼层 |坛友微信交流群
好书,学习了

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sqy 发表于 2018-10-29 16:48:00 |显示全部楼层 |坛友微信交流群
Hands-On Ensemble Learning with R

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shgby 发表于 2018-10-29 17:06:51 来自手机 |显示全部楼层 |坛友微信交流群
Hands-On Ensemble Learning with R

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summers1985 发表于 2018-10-29 19:52:00 |显示全部楼层 |坛友微信交流群
感谢分享。

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托茨卡纳 发表于 2018-10-29 20:27:53 |显示全部楼层 |坛友微信交流群
集成学习集大成

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