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人工智能下载列表 第2805页

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[机器学习] 408路畅升级ibook3

说明: 标致408路畅畅新升级ibook3,工具都很全,要严格按照教程来升级
<gm5627390> 上传 | 大小:62mb

[深度学习] Introduction to Logistic Regression Models

说明: Logistic regression is a useful tool for analyzing data that includes categorical response variables, such as tree survival, presence or absence of a species in quadrats, and presence of disease or damage to seedlings
<alladins> 上传 | 大小:878kb

[机器学习] Multiple and logistic regression

说明: 该文档讲述了 多元线性回归模型以及logistic模型的研究
<alladins> 上传 | 大小:3mb

[深度学习] Multiple Linear and 1D Regression

说明: Regression is the study of the conditional distribution Y |x of the response Y given the p × 1 vector of nontrivial predictors x. In a 1D regression model, Y is conditionally independent of x given a single linear combination α + βTx of the predicto
<alladins> 上传 | 大小:4mb

[深度学习] Linear Regression Analysis Theory and Computing

说明: In statistics, regression analysis consists of techniques for modeling the relationship between a dependent variable (also called response variable) and one or more independent variables (also known as explanatory variables or predictors).
<alladins> 上传 | 大小:2mb

[深度学习] Analysis of Variance, Design, and Regression: Applied Statistical Methods

说明: This book examines the application of basic statistical methods: primarily analysis of variance and regression but with some discussion of count data. It is directed primarily towards Masters degree students in statistics studying analysis of varian
<alladins> 上传 | 大小:1mb

[深度学习] Applied Nonparametric Regression

说明: The theory and methods of smoothing have been developed mainly in the last ten years. The intensive interest in smoothing over this last decade had two reasons: statisticians realized that pure parametric thinking in curve estimations often does not
<alladins> 上传 | 大小:3mb

[深度学习] REGRESSION MODELS FOR CATEGORICAL DEPENDENT VARIABLES USING STATA

说明: Our book is about using Stata for estimating and interpreting regression models with categorical outcomes. The book is divided into two parts. Part I contains general information that applies to all of the regression models that are considered in de
<alladins> 上传 | 大小:8mb

[深度学习] The Classical Multiple Regression model

说明: 该文档综合介绍了各种典型的多元统计模型的特点和一些性质,对于刚上手的人来说是是个不错的学习资源
<alladins> 上传 | 大小:2mb

[深度学习] Deep-Learning-21-Examples-master

说明: 21个例子学深度学习,tensorflow程序原代码Deep-Learning-21-Examples-master.21个项目玩转深度学习:基于tensorflow的实践详解
<yuwenjie2016> 上传 | 大小:151mb

[机器学习] x的奇幻之旅:为什么工作和生活中要有数学思维

说明: x的奇幻之旅:为什么工作和生活中要有数学思维x的奇幻之旅:为什么工作和生活中要有数学思维x的奇幻之旅:为什么工作和生活中要有数学思维x的奇幻之旅:为什么工作和生活中要有数学思维
<monkeypony> 上传 | 大小:2mb

[深度学习] 建立的简单的CNN_model模型,是python类型的程序代码

说明: 建立的简单的CNN模型,用于相互作用的计算。建立的模型较为简单,适合刚开始接触CNN模型的新手参考
<zhang_xi_xi_94> 上传 | 大小:4kb
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