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Titlebook: Applying Predictive Analytics; Finding Value in Dat Richard V. McCarthy,Mary M. McCarthy,Wendy Ceccucc Textbook 2022Latest edition The Edit

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31#
發(fā)表于 2025-3-26 22:22:22 | 只看該作者
Text Analytics: Using Qualitative Data to Support Quantitative Results,olumes of unstructured data. Much of this consists of text data. Let’s consider one example, Twitter. Twitter began operations in mid-2006. Although it took several years to grow into one of the significant social media forces, it is now estimated that they produce over 12 terabytes of data daily (M
32#
發(fā)表于 2025-3-27 04:06:13 | 只看該作者
https://doi.org/10.1007/978-3-030-71644-8 analytics consists primarily of the “Big 3” techniques: regression analysis, decision trees, and neural networks. Although several other techniques, such as random forests and ensemble models, have become increasingly popular in their use, predictive analytics focuses on building and evaluating pre
33#
發(fā)表于 2025-3-27 06:33:17 | 只看該作者
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發(fā)表于 2025-3-27 18:23:50 | 只看該作者
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發(fā)表于 2025-3-27 22:17:30 | 只看該作者
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發(fā)表于 2025-3-28 02:40:11 | 只看該作者
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發(fā)表于 2025-3-28 09:52:53 | 只看該作者
40#
發(fā)表于 2025-3-28 14:14:04 | 只看該作者
Studying Discourse Implies Studying Equityolumes of unstructured data. Much of this consists of text data. Let’s consider one example, Twitter. Twitter began operations in mid-2006. Although it took several years to grow into one of the significant social media forces, it is now estimated that they produce over 12 terabytes of data daily (M
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