结果:找到“expl”相关内容1000个,排序为按回复时间降序,搜索更多相关帖子请点击“高级”
《Best Practices in Exploratory Factor Analysis》
17 个回复 - 3716 次查看
Best Practices in Exploratory Factor Analysis (EFA) is a practitioner-oriented look at this popular and often-misunderstood statistical technique. We avoid formulas and matrix algebra, instead focus ...
2016-7-5 21:50 - bfzldh - HLM专版
Exploratory Data Analysis with R
112 个回复 - 14950 次查看
This book covers some of the basics of visualizing data in R and summarizing highdimensional data with statistical multivariate analysis techniques. There is less of an emphasis on formal statistical ...
2015-6-29 11:52 - 大家开心 - R语言论坛
Algorithmic Differentiation in Finance Explained
5 个回复 - 1426 次查看
This book provides the first practical guide to the function and implementation of algorithmic differentiation in finance. Written in a highly accessible way, Algorithmic Differentiation Explained wil ...
2017-9-4 20:47 - nivastuli - 博弈论
【独家发布】【2016新书】Insight Guides: Explore Malta
9 个回复 - 566 次查看
如果喜欢该文档,欢迎订阅【2016新书】文库,http://bbs.pinggu.org/forum.php?mod=collection&action=view&ctid=3187
图书名称:Insight Guides: Explore Malta[/backcolor]
作者:Insight Guides[/backcolor]
...
2016-8-5 17:39 - 牛尾巴 - 经管书评
Behaving or not? Explaining energy
7 个回复 - 487 次查看
【作者(必填)】 Kumar Pranay;Caggiano Holly;Cuite Cara;Andrews Clinton J.;Felder Frank A.;Shwom Rachael;Floress Kristin;Ahamed Sonya;Schelly Chelsea
【文题(必填)】Behaving or not? Explaining energy ...
2022-9-28 17:08 - jgxlmf - 文献求助专区
Exploring Data with Access 2016
24 个回复 - 1145 次查看
English | September 20, 2018 | ISBN: 0692163573 | 306 pages | AZW3
Exploring Data with Access 2016 is an introduction to Microsoft Access with an emphasis on topics relevant to data
exploration an ...
2018-11-13 16:35 - igs816 - 经管书评
【回复有奖】The Data Science Puzzle, Explained
756 个回复 - 29440 次查看
There is no dearth of articles around the web comparing and contrasting data science terminology. There are all sorts of articles written by all types of people relaying their opinions to anyone who w ...
2016-7-6 08:13 - oliyiyi - LATEX论坛
【回复有奖】Top 10 Data Mining Algorithms, Explained
784 个回复 - 29075 次查看
By Raymond Li.Today, I’m going to
explain in plain English the top 10 most influential data mining algorithms as voted on by 3 separate panels in thissurvey paper.Once you know what they are, how the ...
2016-7-6 08:19 - oliyiyi - LATEX论坛
【精品文章】Bayesian Machine Learning, Explained
128 个回复 - 8213 次查看
Want to know about Bayesian machine learning? Sure you do! Get a great introductory
explanation here, as well as suggestions where to go for further study.By Zygmunt Zając, FastML.So you know the ...
2016-7-15 16:09 - oliyiyi - LATEX论坛
Explainable ML versus Interpretable ML
1 个回复 - 1348 次查看
First, I (Keith) want to share something I was taught in MBA school – all new (and old but still promoted) technologies exaggerate their benefits, are overly dismissive of difficulties, underestimat ...
2018-10-31 09:36 - janyiyi - LATEX论坛
随机森林 % Var explained
7 个回复 - 11306 次查看
涉及到写论文,看到一半论文中比较的两个量为R^2 和 RMSE
randomForest(formula = organic ~ ., data = data1, importance = T)
Type of random forest: regression
Num ...
2015-8-4 14:07 - vivianzhang0120 - R语言论坛
Exploring choices for source control
13 个回复 - 1702 次查看
First, we will see a brief history of source control systems to provide a context. Modern
source control systems are quite powerful. The evolution of the source control systems
went through the fo ...
2021-12-18 10:35 - 宽客老丁 - python论坛