<!DOCTYPE HTML>
<html lang="en" >
<head>
<meta charset="UTF-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge" />
<title>数学：矩阵 | 机器学习（常用科学计算库的使用）基础定位、目标</title>
<meta content="text/html; charset=utf-8" http-equiv="Content-Type">
<meta name="description" content="">
<meta name="generator" content="GitBook 2.6.7">
<meta name="HandheldFriendly" content="true"/>
<meta name="viewport" content="width=device-width, initial-scale=1, user-scalable=no">
<meta name="apple-mobile-web-app-capable" content="yes">
<meta name="apple-mobile-web-app-status-bar-style" content="black">
<link rel="apple-touch-icon-precomposed" sizes="152x152" href="../gitbook/images/apple-touch-icon-precomposed-152.png">
<link rel="shortcut icon" href="../gitbook/images/favicon.ico" type="image/x-icon">
<link rel="stylesheet" href="../gitbook/style.css">
<link rel="stylesheet" href="../gitbook/plugins/gitbook-plugin-katex/katex.min.css">
<link rel="stylesheet" href="../gitbook/plugins/gitbook-plugin-expandable-chapters/expandable-chapters.css">
<link rel="stylesheet" href="../gitbook/plugins/gitbook-plugin-splitter/splitter.css">
<link rel="stylesheet" href="../gitbook/plugins/gitbook-plugin-highlight/website.css">
<link rel="stylesheet" href="../gitbook/plugins/gitbook-plugin-search/search.css">
<link rel="stylesheet" href="../gitbook/plugins/gitbook-plugin-fontsettings/website.css">
<link rel="next" href="../Pandas/index.html" />
<link rel="prev" href="../Numpy/section5.html" />
</head>
<body>
<div class="book"
data-level="4.6"
data-chapter-title="数学：矩阵"
data-filepath="Numpy/section6.md"
data-basepath=".."
data-revision="Sat Jul 20 2019 23:53:14 GMT+0800 (CST)"
data-innerlanguage="">
<div class="book-summary">
<nav role="navigation">
<ul class="summary">
<li class="chapter " data-level="0" data-path="index.html">
<a href="../index.html">
<i class="fa fa-check"></i>
机器学习（常用科学计算库的使用）基础定位、目标
</a>
</li>
<li class="chapter " data-level="1" data-path="ml_pre/index.html">
<a href="../ml_pre/index.html">
<i class="fa fa-check"></i>
<b>1.</b>
机器学习概述
</a>
<ul class="articles">
<li class="chapter " data-level="1.1" data-path="ml_pre/section1.html">
<a href="../ml_pre/section1.html">
<i class="fa fa-check"></i>
<b>1.1.</b>
人工智能概述
</a>
</li>
<li class="chapter " data-level="1.2" data-path="ml_pre/section2.html">
<a href="../ml_pre/section2.html">
<i class="fa fa-check"></i>
<b>1.2.</b>
人工智能发展历程
</a>
</li>
<li class="chapter " data-level="1.3" data-path="ml_pre/section3.html">
<a href="../ml_pre/section3.html">
<i class="fa fa-check"></i>
<b>1.3.</b>
人工智能主要分支
</a>
</li>
<li class="chapter " data-level="1.4" data-path="ml_pre/section4.html">
<a href="../ml_pre/section4.html">
<i class="fa fa-check"></i>
<b>1.4.</b>
机器学习工作流程
</a>
</li>
<li class="chapter " data-level="1.5" data-path="ml_pre/section5.html">
<a href="../ml_pre/section5.html">
<i class="fa fa-check"></i>
<b>1.5.</b>
机器学习算法分类
</a>
</li>
<li class="chapter " data-level="1.6" data-path="ml_pre/section6.html">
<a href="../ml_pre/section6.html">
<i class="fa fa-check"></i>
<b>1.6.</b>
模型评估
</a>
</li>
<li class="chapter " data-level="1.7" data-path="ml_pre/section7.html">
<a href="../ml_pre/section7.html">
<i class="fa fa-check"></i>
<b>1.7.</b>
Azure机器学习模型搭建实验
</a>
</li>
<li class="chapter " data-level="1.8" data-path="ml_pre/section8.html">
<a href="../ml_pre/section8.html">
<i class="fa fa-check"></i>
<b>1.8.</b>
深度学习简介
</a>
</li>
</ul>
</li>
<li class="chapter " data-level="2" data-path="env/index.html">
<a href="../env/index.html">
<i class="fa fa-check"></i>
<b>2.</b>
机器学习基础环境安装与使用
</a>
<ul class="articles">
<li class="chapter " data-level="2.1" data-path="env/section1.html">
<a href="../env/section1.html">
<i class="fa fa-check"></i>
<b>2.1.</b>
库的安装
</a>
</li>
<li class="chapter " data-level="2.2" data-path="env/section2.html">
<a href="../env/section2.html">
<i class="fa fa-check"></i>
学python必学的基础Numpy,免费学习numpy
需积分: 0 117 浏览量
2023-05-19
23:05:23
上传
评论
收藏 2.97MB RAR 举报
Numpy.rar （24个子文件） 
Numpy image 
image-20190620005224076.png 1.39MB image-20190620081842007.png 18KB
section2.html 33KB section1.html 36KB section4.html 35KB index.html 23KB section6.html 130KB images numpy内存地址.png 253KB 计算量大.png 77KB 矩阵乘法计算过程.png 211KB 离散程度.png 56KB array和asarray的区别.png 173KB 均匀分布.png 11KB Numpy.png 160KB 单位矩阵.png 41KB 随机生成正态分布.png 14KB 学生成绩数据.png 190KB 正态分布.png 264KB 标准差公式.png 13KB 数组1.png 55KB 学生成绩计算.png 89KB 数组2.png 128KB section5.html 31KB section3.html 55KB资源评论
