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Description: Displays raw data of figure plots in separate spreadsheet tables
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Size: 11823 |
Author: 张莹 |
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Description: Displays raw data of figure plots in separate spreadsheet tables
Platform: |
Size: 11264 |
Author: 张莹 |
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Description: 绘散点图,x,y,z,x和y确定坐标, z确定颜色级别-Painted scatter, x, y, z, x and y determine the coordinates, z-level to determine color
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Size: 3665920 |
Author: xiaozhao |
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Description: 将内存的数据通过屏幕进行绘图，主要是折线图，在升级版中可以做各种图形或表格-plot graph on display
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Size: 2048 |
Author: wenjiabao |
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Description: 将内存的数据通过屏幕进行绘图，主要是折线图，在升级版中可以做各种图形或表格-plot graph on display
Platform: |
Size: 2048 |
Author: xuaan7n227 |
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Description: 机器学习相关内容，基于matlab仿真，实现了线性回归分类器的功能-Files included in this exercise
ex1.m- Octave script that will help step you through the exercise
ex1 multi.m- Octave script for the later parts of the exercise
ex1data1.txt- Dataset for linear regression with one variable
ex1data2.txt- Dataset for linear regression with multiple variables
submit.m- Submission script that sends your solutions to our servers
[?] warmUpExercise.m- Simple example function in Octave
[?] plotData.m- Function to display the dataset
[?] computeCost.m- Function to compute the cost of linear regression
[?] gradientDescent.m- Function to run gradient descent
[y] computeCostMulti.m- Cost function for multiple variables
[y] gradientDescentMulti.m- Gradient descent for multiple variables
[y] featureNormalize.m- Function to normalize features
[y] normalEqn.m- Function to compute the normal equations
Platform: |
Size: 17408 |
Author: 张伟强 |
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Description: 线性感知机，机器学习相关，基于matlab仿真-Files included in this exercise
ex1.m- Octave script that will help step you through the exercise
ex1 multi.m- Octave script for the later parts of the exercise
ex1data1.txt- Dataset for linear regression with one variable
ex1data2.txt- Dataset for linear regression with multiple variables
submit.m- Submission script that sends your solutions to our servers
[?] warmUpExercise.m- Simple example function in Octave
[?] plotData.m- Function to display the dataset
[?] computeCost.m- Function to compute the cost of linear regression
[?] gradientDescent.m- Function to run gradient descent
[y] computeCostMulti.m- Cost function for multiple variables
[y] gradientDescentMulti.m- Gradient descent for multiple variables
[y] featureNormalize.m- Function to normalize features
[y] normalEqn.m- Function to compute the normal equations
Platform: |
Size: 15360 |
Author: 张伟强 |
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Description: 逻辑回归，机器学习相关内容，内有说明，基于matlab仿真-ex2.m- Octave script that will help step you through the exercise
ex2 reg.m- Octave script for the later parts of the exercise
ex2data1.txt- Training set for the rst half of the exercise
ex2data2.txt- Training set for the second half of the exercise
submit.m- Submission script that sends your solutions to our servers
mapFeature.m- Function to generate polynomial features
plotDecisionBounday.m- Function to plot classi er s decision boundary
[?] plotData.m- Function to plot 2D classi cation data
[?] sigmoid.m- Sigmoid Function
[?] costFunction.m- Logistic Regression Cost Function
[?] predict.m- Logistic Regression Prediction Function
[?] costFunctionReg.m- Regularized Logistic Regression Cost
Platform: |
Size: 26624 |
Author: 张伟强 |
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Description: 支持向量机，实现2或多分类，基于matlab仿真，内有说明-ex6.m- Octave script for the rst half of the exercise
ex6data1.mat- Example Dataset 1
ex6data2.mat- Example Dataset 2
ex6data3.mat- Example Dataset 3
svmTrain.m- SVM rraining function
svmPredict.m- SVM prediction function
plotData.m- Plot 2D data
visualizeBoundaryLinear.m- Plot linear boundary
visualizeBoundary.m- Plot non-linear boundary
linearKernel.m- Linear kernel for SVM
[?] gaussianKernel.m- Gaussian kernel for SVM
[?] dataset3Params.m- Parameters to use for Dataset 3
ex6 spam.m- Octave script for the second half of the exercise
spamTrain.mat- Spam training set
1
spamTest.mat- Spam test set
emailSample1.txt- Sample email 1
emailSample2.txt- Sample email 2
spamSample1.txt- Sample spam 1
spamSample2.txt- Sample spam 2
vocab.txt- Vocabulary list
getVocabList.m- Load vocabulary list
porterStemmer.m- Stemming function
readFile.m- Reads a le into a character string
submit.m- Submission script that sends your solutions to our servers
submitWeb.m- Alternative s
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Size: 583680 |
Author: 张伟强 |
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Description: 第二周的简单机器学习答案。。。。。。。。。。。。。(warmUpExercise.m plotData.m gradientDescent.m computeCost.m
For this part of the exercise, you will need to change some parts of the code below for various experiments (e.g., changing learning rates)
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Size: 43008 |
Author: 11115245
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Description: 机器学习联系EX1 部分代码，matlab实现(%% Machine Learning Online Class - Exercise 1: Linear Regression
% Instructions
% ------------
%
% This file contains code that helps you get started on the
% linear exercise. You will need to complete the following functions
% in this exericse:
%
% warmUpExercise.m
% plotData.m
% gradientDescent.m
% computeCost.m
% gradientDescentMulti.m
% computeCostMulti.m
% featureNormalize.m
% normalEqn.m
%
% For this exercise, you will not need to change any code in this file,
% or any other files other than those mentioned above.
%
% x refers to the population size in 10,000s
% y refers to the profit in $10,000s
%
%% Initialization)
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Size: 1024 |
Author: 学者法师 |
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