文件名称:mlclass-ex1
介绍说明--下载内容均来自于网络,请自行研究使用
线性感知机,机器学习相关,基于matlab仿真-Files included in this exercise
ex1.m- Octave scr ipt that will help step you through the exercise
ex1 multi.m- Octave scr ipt 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 scr ipt 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
ex1.m- Octave scr ipt that will help step you through the exercise
ex1 multi.m- Octave scr ipt 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 scr ipt 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
(系统自动生成,下载前可以参看下载内容)
下载文件列表
mlclass-ex1\computeCost.m
...........\computeCostMulti.m
...........\ex1.m
...........\ex1data1.txt
...........\ex1data2.txt
...........\ex1_multi.m
...........\featureNormalize.m
...........\gradientDescent.m
...........\gradientDescentMulti.m
...........\ml_login_data.mat
...........\normalEqn.m
...........\plotData.m
...........\submit.m
...........\submitWeb.m
...........\warmUpExercise.m
mlclass-ex1