文字 发表于 2025-3-28 18:15:03
http://reply.papertrans.cn/27/2631/263060/263060_41.png红肿 发表于 2025-3-28 21:59:42
http://reply.papertrans.cn/27/2631/263060/263060_42.pngANIM 发表于 2025-3-29 00:42:00
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.affinity 发表于 2025-3-29 05:37:40
http://reply.papertrans.cn/27/2631/263060/263060_44.pngjet-lag 发表于 2025-3-29 07:24:40
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).Consensus 发表于 2025-3-29 14:38:50
http://reply.papertrans.cn/27/2631/263060/263060_46.png悄悄移动 发表于 2025-3-29 19:11:50
http://reply.papertrans.cn/27/2631/263060/263060_47.png除草剂 发表于 2025-3-29 20:28:12
http://reply.papertrans.cn/27/2631/263060/263060_48.png头盔 发表于 2025-3-30 01:54:43
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:Institution 发表于 2025-3-30 05:02:34
http://reply.papertrans.cn/27/2631/263060/263060_50.png