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Titlebook: Business Analytics; Data Science for Bus Walter R. Paczkowski Book 2021 Springer Nature Switzerland AG 2021 data science.machine learning.b

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樓主: Coolidge
21#
發(fā)表于 2025-3-25 04:17:38 | 只看該作者
22#
發(fā)表于 2025-3-25 08:38:57 | 只看該作者
Molecular Identification of MealybugsIn this chapter, I will set the stage for analysis beyond what I discussed in the previous chapters. I covered that material at a high level. Specialized books cover them in greater detail; in fact, whole volumes are written on each of those topics. The ones in this chapter are different. They cover advanced data handling topics.
23#
發(fā)表于 2025-3-25 14:29:33 | 只看該作者
Singular behaviour of convex surfacesI will turn my attention to . methods in this chapter. Recall that these methods do not have a target variable that guides them to learn from a set of features. There are still features, but without a target another approach is needed to extract the information buried inside your data.
24#
發(fā)表于 2025-3-25 17:05:23 | 只看該作者
Introduction to Business Data Analytics: Setting the StageSpoiler-alert: . (.), the focus of this book, is solely concerned with one task, and one task only: to provide the richest information possible to decision makers.
25#
發(fā)表于 2025-3-25 21:31:48 | 只看該作者
26#
發(fā)表于 2025-3-26 03:52:59 | 只看該作者
Advanced Data Handling for Business Data AnalyticsIn this chapter, I will set the stage for analysis beyond what I discussed in the previous chapters. I covered that material at a high level. Specialized books cover them in greater detail; in fact, whole volumes are written on each of those topics. The ones in this chapter are different. They cover advanced data handling topics.
27#
發(fā)表于 2025-3-26 07:39:44 | 只看該作者
Grouping with Unsupervised Learning MethodsI will turn my attention to . methods in this chapter. Recall that these methods do not have a target variable that guides them to learn from a set of features. There are still features, but without a target another approach is needed to extract the information buried inside your data.
28#
發(fā)表于 2025-3-26 12:30:45 | 只看該作者
https://doi.org/10.1057/9781137363794ever, that you need data first is too simplistic and trivial. Where data originate, how you get them, and what you do with them, that is, how you manipulate them, before you begin your work is important to address.
29#
發(fā)表于 2025-3-26 13:40:54 | 只看該作者
30#
發(fā)表于 2025-3-26 18:56:15 | 只看該作者
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