Inspection
发表于 2025-3-21 18:14:27
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难取悦
发表于 2025-3-21 21:17:25
https://doi.org/10.1057/9780230582194pitfalls one encounters when analyzing real-world data. We start our journey through the data analysis process by looking over the shoulders of two (pseudo) data analysts, Stan and Laura, working on some hypothetical data analysis problems in a sales environment. Being differently skilled, they show
尽忠
发表于 2025-3-22 03:32:33
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Myocyte
发表于 2025-3-22 05:07:49
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强行引入
发表于 2025-3-22 09:32:22
The French: A Cross-cultural Comparison,ject understanding phase to revise objectives (or to stop the project). In the former case, we have to prepare the dataset for subsequent modeling. However, as some of the data preparation steps are motivated by modeling itself, we first discuss the principles of modeling. Many modeling methods will
食物
发表于 2025-3-22 16:48:39
Mark Burton,Carolyn Kagan,Pat Clementsations. We intend to apply various modeling techniques to extract models from the data. Although we have not yet discussed any modeling technique in greater detail (see Chaps. 7ff), we have already glimpsed at some fundamental techniques and potential pitfalls in the previous chapter. Before we star
食物
发表于 2025-3-22 18:33:20
Florian Mayer,Dennis Schoeneborn the identification of areas that exceptionally deviate from the remainder. They provide answers to questions such as: Does it naturally subdivide into groups? How do attributes depend on each other? Are there certain conditions leading to exceptions from the average behaviour? The chapter provides
观点
发表于 2025-3-23 00:18:12
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Popcorn
发表于 2025-3-23 04:46:33
https://doi.org/10.1007/978-3-031-52399-1e discussed methods for basically the same purpose, the methods in this chapter yield models that do not help much to explain the data or even dispense with models altogether. Nevertheless, they can be useful, namely if the main goal is good prediction accuracy rather than an intuitive and interpret
Rheumatologist
发表于 2025-3-23 08:23:22
The Measurement of Stratificationsures such as classification accuracy has been checked routinely whenever changes to the model were made to judge the advantageousness of the modifications. The models were also interpreted to gain new insights for feature construction (or even data acquisition). Once we are satisfied with the techn