1.import 模块 import os import tarfile from six.moves import urllib import pandas as pd pd.set_option('display.width', None) import matplotlib.pyplot as plt import numpy as np import hashlib 2.获取数据模块 DOWNLOAD_ROOT = "https://raw.githubusercontent.com/a…

Week1: Machine Learning: A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at tasks in T, as measured by P, improves with experience E. Supervised Learning:We alr…

Week 1: Machine Learning: A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at tasks in T, as measured by P, improves with experience E. Supervised Learning:We al…

博客已经迁移到Marcovaldo's blog (http://marcovaldong.github.io/) 刚刚完毕了Andrew Ng在Cousera上的Machine Learning的第十周课程,这周主要介绍的是大规模机器学习.现将笔记整理在以下. Gradient Descent with Large Datasets Learning With Large Datasets 在前面介绍bias-variance的时候.我们曾提到一个比較各种算法孰优孰劣的实验,结论是"it's…

必做: [*] warmUpExercise.m - Simple example function in Octave/MATLAB[*] plotData.m - Function to display the dataset[*] computeCost.m - Function to compute the cost of linear regression[*] gradientDescent.m - Function to run gradient descent 1.warmUpE…

https://www.coursera.org/learn/machine-learning/exam/7pytE/linear-regression-with-multiple-variables 1. Suppose m=4 students have taken some class, and the class had a midterm exam and a final exam. You have collected a dataset of their scores on the…

https://www.coursera.org/learn/machine-learning/exam/dbM1J/octave-matlab-tutorial Octave Tutorial 5 试题 1. Suppose I first execute the following Octave commands: A = [1 2; 3 4; 5 6]; B = [1 2 3; 4 5 6]; Which of the following are then valid Octave com…

开篇:首先这本书的名字很霸气,全书内容讲的是R语言在机器学习上面的应用,一些基本的分类算法(tree,SVM,NB),回归算法,智能优化算法,维度约减等,机器学习领域已经有很多成熟的R工具箱,毕竟这个领域被统计学称霸了十多年,常用R工具箱都可以在这里面找到http://www.rdatamining.com/docs,http://www.mloss.org/software/ 本书第一张介绍了R以及相应包的安装,同时拿了UFO数据集进行练手,数据集以及源码网上都有的 首先加载数据集(博客园的插…

一.什么是机器学习? 计算机程序利用经验E(训练数据)学习任务T(要做什么,即目标),性能是P(性能指标),如果针对任务T的性能P随着经验E不断增长,成为机器学习.[这是汤姆米切尔在1997年定义] 大白话:类比于学生学习考试,你先练习一套有一套的模拟卷 (这就相当于训练数据),在这几套模拟卷上能得到差不多的成绩的时候(这个就是在训练数据得到的性能指标P理想),然后去考试(应用到实际生产生活中去).这就是机器学习的类比. 二.机器学习的好处 传统的编程技术完成的程序会在动态变化的生产环境中难以维…

##机器学习(Machine Learning)&深度学习(Deep Learning)资料(Chapter 2)---#####注:机器学习资料[篇目一](https://github.com/ty4z2008/Qix/blob/master/dl.md)共500条,[篇目二](https://github.com/ty4z2008/Qix/blob/master/dl2.md)开始更新------#####希望转载的朋友**一定要保留原文链接**,因为这个项目还在继续也在不定期更新．希望看到…