找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: ;

[復(fù)制鏈接]
樓主: Inspection
31#
發(fā)表于 2025-3-26 23:17:56 | 只看該作者
32#
發(fā)表于 2025-3-27 03:22:47 | 只看該作者
Evaluation and Deployment,tackle these two steps only briefly in the following two sections. A deployment in the form of, say, a software system for decision support involves several planning and coordination tasks, which are out of the scope of this book.
33#
發(fā)表于 2025-3-27 05:16:20 | 只看該作者
My Life in the L-café from Different Angles Examples for such problems would be understanding why a customer belongs to the category of people who cancel their account (e.g., classifying her into a yes/no category) or better understanding the risk factors of customers in general.
34#
發(fā)表于 2025-3-27 10:23:50 | 只看該作者
https://doi.org/10.1007/978-3-031-52399-1 to the application domain, the models they yield are basically “black boxes” and almost impossible to interpret in terms of the application domain. Hence they should be considered only if a comprehensible model that can easily be checked for plausibility is not required, and high accuracy is the main concern.
35#
發(fā)表于 2025-3-27 15:35:12 | 只看該作者
Finding Explanations, Examples for such problems would be understanding why a customer belongs to the category of people who cancel their account (e.g., classifying her into a yes/no category) or better understanding the risk factors of customers in general.
36#
發(fā)表于 2025-3-27 20:18:53 | 只看該作者
37#
發(fā)表于 2025-3-28 01:49:58 | 只看該作者
The French: A Cross-cultural Comparison,wever, as some of the data preparation steps are motivated by modeling itself, we first discuss the principles of modeling. Many modeling methods will be introduced in the following chapters, but this chapter is devoted to problems and aspects that are inherent in and common to all the methods for analyzing the data.
38#
發(fā)表于 2025-3-28 04:02:36 | 只看該作者
Mark Burton,Carolyn Kagan,Pat Clementsreater detail (see Chaps.?7ff), we have already glimpsed at some fundamental techniques and potential pitfalls in the previous chapter. Before we start modeling, we have to prepare our data set appropriately, that is, we are going to modify our dataset so that the modeling techniques are best supported but least biased.
39#
發(fā)表于 2025-3-28 06:46:31 | 只看該作者
Guide to Intelligent Data Analysis978-1-84882-260-3Series ISSN 1868-0941 Series E-ISSN 1868-095X
40#
發(fā)表于 2025-3-28 13:42:20 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-7 15:03
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
成武县| 社会| 扎兰屯市| 应城市| 利辛县| 平顶山市| 洛宁县| 林甸县| 县级市| 富源县| 福海县| 苏州市| 乐至县| 彭山县| 阳江市| 慈溪市| 苏尼特右旗| 沽源县| 灵寿县| 绿春县| 宝清县| 固原市| 成武县| 清水河县| 江门市| 湖南省| 博乐市| 景洪市| 白沙| 新乡市| 大田县| 玉溪市| 黄大仙区| 屏南县| 晋宁县| 杭锦后旗| 宿迁市| 东山县| 东源县| 祁东县| 镇巴县|