http://codecogs.com/latex/eqneditor.php
####机器学习
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1. 傻子机器学习入门 | 2. 可视化机器学习 | 3. 从头开始实现神经网络——入门
4. scipy 统计和随机数 | 5. scipy 稀疏矩阵 | 6. scipy 图像处理
7. sklean机器学习 | 8. sklearn 随机森林简单介绍
Machine Learning Lecture
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线性回归 | 逻辑回归 | 正则化 | 神经网络
神经网络2 | 应用建议 | 系统设计 | SVM
K-m, PCA | 异常检测
Octave Tutorial
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--- | --- | --- | --- 矩阵操作 | plot data | 流程控制/方法 |
Algorithm
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--- | --- | --- | --- 排序 选择 | 图 Min Cut | 图的搜索和连通 |
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--- | --- | --- | --- 4 special matrix |
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--- | --- | --- | --- preface |
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--- | --- | --- | --- 正交点积 | 随机数 | 微积分总览 | 线性代数摘要 |
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--- | --- | --- | --- Intro 2 U3D |
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--- | --- | --- | --- U3D Procedual Dengeon Part1 | U3D官方视频笔记 |
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1.语言 | 2.表达式| 3.函数 | 4.数据
5.方法和接口 | 7.并发 | 8.包 | 9.反射
10.工具 |11.测试
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--- | --- | --- | --- 1. facebook watchman | 2. simctl ios Simulator | 3. ios sim stdout | 4. ios sim 添加快捷键
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--- | --- | --- | --- 1. 重定向和管道 |
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--- | --- | --- | --- Learn to Learning |