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The BNL toolbox is a set of Matlab functions for defining and estimating the
parameters of a Bayesian network for discrete variables in which the conditional
probability tables are specified by logistic regression models. Logistic regression can be
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这是《数据挖掘原理与应用—SQL Server 2008数据库》的随书SQL语句、源代码和Excel范例文件，基于DMX，代码主要包括对SQL Server 2008和Excel 2007中已经集成好的数据挖掘算法的应用， 如贝叶斯聚类、决策树、时序、聚类、序列聚类、关联规则、神经网络、逻辑回归、OLAP立方体的等算法，具有极高的使用价值。-This is the " Principles and Applications of data mining-SQL Server 2008 d
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bayes算法在java环境下的开发和实现过程，主要是网络结构的建立和推理过程-Bayes algorithm in java development environment and the realization of the process, mainly the establishment of the network structure and reasoning process
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Neural Network Logistic regression
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Some simple statistical learning techniques, demonstrated with the R language. Including linear regression, logistic regression, neural network example, support vector machine, and random forest example usage and the corresponding libraries needed.
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斯坦福大学机器学习公开课程第三讲matlab实现作业--多逻辑回归和神经网络表示。-Stanford Machine Learning public speaking courses third matlab realize the job- and more logistic regression and neural network representation.
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Implement and uate classi cation algorithms
The classi cation models used are :
(a) Logistic Regression
(b) Neural Networks
(c) Neural Network Package-Implement and uate classi cation algorithms
The classi cation models used are :
(a) Lo
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针对各种机器学习，深度学习领域的一个matlab工具包-A machine learning library focused on deep learning.Following algorithms and models are provided along with some static utility classes:
- Naive Bayes, Linear Regression, Logistic Regression, Softmax Regression, Linear S
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逻辑回归是目前流行的神经网络算法的实现基石，本程序通过简单的例子介绍了逻辑回归的思想以及算法拓展。-Logistic regression is a popular neural network algorithm to achieve a cornerstone of this program through a simple example and introduced the idea to expand the logistic regression algorithm.
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多分类学习及神经网络，机器学习相关，基于matlab计算-ex3.m- Octave scr ipt that will help step you through part 1
ex3 nn.m- Octave scr ipt that will help step you through part 2
ex3data1.mat- Training set of hand-written digits
ex3weights.mat- Initial weights for the
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lr.py是用python实现了逻辑回归的源代码，并附带有注释。mlp.py是用python实现了多层感知机的源代码，并附带有注释。LeNetConvPoolLayer.py是用python实现了LeNet网络，并附带有注释。该文件需要引用mlp.py。-lr.py is python source code achieving a logistic regression , along with comments. mlp.py realized MLP by python, along wi
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本内容是有关机器学习的包含贝叶斯分类器，随机森林，支持向量机，神经网络，logistic多元回归等(The contents of this paper are machine learning, including Bayesian classifier, random forest, support vector machines, neural network, logistic multiple regression and so on)
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建立人工神经网络模型，包括使用keras建模，logistic regression model(Use tensorflow to construct neural network)
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deeplearning.ai
基本的神经
网络编程
对数几率回归(deeplearning.ai
Basics of Neural
Network Programming
Logistic Regression)
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