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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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使用机器学习中的逻辑斯蒂回归对样本分类并对测试样本进行准确性估计-Using machine learning logistic regression test samples and sample classification accuracy of estimates
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斯坦福机器学习课程中的logistic regression部分练习-Stanford Machine Learning course part of the exercise in the logistic regression
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机器学习实战中的逻辑回归代码以及测试数据-Logistic regression in machine learning field code and test data
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logistic regression演示和带正则化的多features时的情况演示。是机器学习中的重要知识。-logistic regression with regularization presentations and case presentation when multiple features. Machine learning is an important knowledge.
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逻辑回归，实例：matlab使用逻辑回归进行分类。-Logistic regression
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java实现的逻辑回归代码,和其他的源码不同，此版本有多项改进。-java code to achieve the logistic regression, and other source code is different, this version has a number of improvements.
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一片很好的介绍native bayes和logistic regression区别和联系的文章-relation between native bayes and logistic regression
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python实现用逻辑回归识别和分类人工手写数字-Classifying MNIST digits using Logistic Regression
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利用逻辑回归实现二分类的matlab程序。随机生成训练样本，利用梯度下降法进行训练，并且在样本图上画出了分类边界。-Logistic regression for binary classification matlab procedures. Randomly generated training samples, the training using the gradient descent method, and is shown in Figure on the sample class
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逻辑回归实现线性分类器，文件中的readme.txt可以看到使用方法。
具体使用就是通过data.txt读入数据（默认2维数据，分为正反两类。）然后用matlab运行solve.m即可得到分类线、分类准确率。-a matlab source code for Logistic Regression. Datas in data.txt are of 2dimension and 2 types. run solve.m in matlab software to get the accura
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机器学习算法，Logistic回归算法，最优化理论和梯度下降-Machine learning algorithms, Logistic regression algorithm, optimization theory and the gradient descent
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用 go 语言实现 owlqn 算法
owlqn 算是是一种优化的 逻辑回归 算法-Using go language to realize owlqn algorithm
Owlqn is an optimized logistic regression algorithm
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用python实现逻辑回归，实现了梯度下降，随机梯度下降法收敛。-Realized the logistic regression by python, using gradient decescent, stochastic gradient decescent to diverge to the final point.
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Logistic regression （逻辑回归）是当前业界比较常用的机器学习方法-Logistic regression (logistic regression) is more commonly used current industry machine learning methods
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该算法是实现二值Logistic回归算法。包含方差分析检验，回归系数，相关系数，剩余标准差，标准偏回归系数，点预测值，区间预测值。-The algorithm is to achieve binary Logistic regression algorithm. Included analysis of variance, regression coefficients, correlation coefficient, residual standard deviation, standard
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package is abt regression
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正规化的逻辑回归，可实现图像的分类识别,如人脸识别，数字识别-Logistic Regression with regularisation, can be used for image classification
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逻辑回归是当前业界比较常用的机器学习方法,这个是PY实现的。-logistic regression model implemented in Python. Hope this helps.
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machine learning algorithm source code: logistic regression in
MATLAB.
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