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Titlebook: Data Science; Create Teams That As Doug Rose Book 2016 Doug Rose 2016 data science.team.agile.analytics.data-driven organization.data minin

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樓主: Lipase
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發(fā)表于 2025-3-28 18:15:03 | 只看該作者
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發(fā)表于 2025-3-28 21:59:42 | 只看該作者
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發(fā)表于 2025-3-29 00:42:00 | 只看該作者
Rounding Out Your TalentWe defined data science in Chapter 2 and covered what it means to be a “data scientist.” In this chapter, you’ll see how to break that role into several team roles. Then you’ll see how this team can work together to build a greater data science mindset.
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發(fā)表于 2025-3-29 05:37:40 | 只看該作者
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發(fā)表于 2025-3-29 07:24:40 | 只看該作者
Using a Data Science Life CycleMost of the people on your data science team will be familiar with a typical project life cycle. People from a software development background are familiar with the software development life cycle (SDLC). People from data mining probably used the Cross Industry Standard Process for Data Mining (CRISP-DM).
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發(fā)表于 2025-3-29 14:38:50 | 只看該作者
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發(fā)表于 2025-3-29 19:11:50 | 只看該作者
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發(fā)表于 2025-3-29 20:28:12 | 只看該作者
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發(fā)表于 2025-3-30 01:54:43 | 只看該作者
Applying Statistical Analysististics and math to see if they can get at answers. Statistics is a very interesting field. To participate in a data science team, you need some basic understanding of the language. There are several terms you need to be familiar with as you explore statistical analysis. They are:
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發(fā)表于 2025-3-30 05:02:34 | 只看該作者
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