mx's blog 的全部分类

[Android Dev] 2.2 Preference

[Android Dev] 2.1 Lifecycles

[Android Dev] 1.2 Connect to the Internet

[Android Dev] 1.3 RecyclerView

[Android Dev] 1.4 Intents

[Android Dev] 1.1 Create Project Sunshine

[OCaml MOOC] week6: MODULES AND DATA ABSTRACTION

[OCaml MOOC] week5: EXCEPTIONS, INPUT OUTPUT AND IMPERATIVE CONSTRUCTS

[OCaml MOOC] week4: HIGHER ORDER FUNCTIONS

[OCaml MOOC] week3: MORE ADVANCED DATA STRUCTURES

[OCaml MOOC] week2: BASIC DATA STRUCTURES

[Scala MOOC II] Lec4 - Timely Effects

[Scala MOOC II] Lec 3: Functions and State

[OCaml MOOC] week1: BASIC TYPES, DEFINITIONS AND FUNCTIONS

[Scala MOOC II] Lec2: Lazy Evaluation

[learning torch] 6. optim (optimization tools)

[learning torch] 5. nngraph (another way to construct nn)

[learning torch] 4. Criterion (loss function)

[learning torch] 3. Container (models)

[learning torch] 2. Module (layers)

[learning torch] 1. Tensor

[OCaml MOOC] week0: intro and overview

[Scala MOOC II] Lec1: For Expressions and Monads

[Scala MOOC I] Lec6: Collections

[Scala MOOC I] Lec5: Lists

R语言从入门到放弃 (4). 统计回归

R语言从入门到放弃 (3). 绘图

R语言从入门到放弃 (2). 向量(列表)及函数

R语言从入门到放弃 (1). 基础

[Scala MOOC I] Lec4: Types and Pattern Matching

[Scala MOOC I] Lec3: Data and Abstraction

[Scala MOOC I] Lec2: Higher Order Functions

[Scala MOOC I] Lec1: Functions & Evaluation

[Scala MOOC I] Lec0: Getting Started

(DeepLearning MOOC) Lesson 4: Deep Models for Text and Sequences

(DeepLearning MOOC) Lesson 3: Convolutional Neural Networks

(DeepLearning MOOC) Lesson 2: Deep Neural Networks

(DeepLearning MOOC) Lesson 1: From Machine Learning to Deep Learning

[Algorithms II] Week 6-3 Intractability

[Algorithms II] Week 6-2 Linear Programming

[python进阶课程] 面向对象编程

[Algorithms II] Week 6-1 Reductions

[python进阶课程] 函数式编程

[Algorithms II] Week 5-2 Data Compression

[Algorithms II] Week 5-1 Regular Expressions

[Algorithms II] Week 4-2 Substring Search

[Algorithms II] Week 4-1 Tries

[Algorithms II] Week 3-2 Radix Sorts

[Algorithms II] Week 3-1 Maximum Flow

[Algorithms II] Week 2-2 Shortest Paths

[Algorithms II] Week 2-1 Minimum Spanning Trees

[Algorithms II] Week 1-2 Directed Graphs

[Algorithms II] Week 1-1 Undirected Graphs

Approximate Retrieval(2): simHash

minHash: 一种快速approximate retrieval方法

lin-reg = max-likelihood: 贝叶斯视角看线性回归

[Algorithms I] Week 6 Hash Tables

[Algorithms I] Week 5-2 Geometric Applications of BSTs

[Algorithms I] Week 5-1 Balanced Search Trees

[Algorithms I] Week 4-2b Binary Search Trees

[Algorithms I] Week 4-2a Elementry Symbol Tables

[Algorithms I] Week 4-1 Priority Queue

[Algorithms I] Week 3-2 Quicksort

[Algorithms I] Week 3-1 Mergesort

[Algorithms I] Week 2-2 Elementary Sorts

[Algorithms I] Week 2-1 Stacks and Queues

[Algorithms I] Week1-Lab: Percolation

[Algorithms I] Week 1-2 Analysis of Algorithms

[Spark MOOC note] lab4. Predicting Movie Ratings

[Algorithms I] Week 1-1 Union-Find

[Spark MOOC note] Lec8. Exploratory Data Analysis and Machine Learning

[Spark MOOC note] Lec7. Data Quality

[Spark MOOC note] Lec6. Structured Data

[Spark MOOC note] Lec5. Semi-structured Data

[Spark MOOC note] Lec4. Spark Essentials

pelican3建立github博客&主题配置

两层ssh连接(2-hop ssh connection)代理配置

在java程序里使用weka进行机器学习

学术文章写作利器: TeXmacs介绍

linux系统添加swap分区&调整swapness

Linux下pdf文件的压缩与合并

putty使用备忘

Eclipse快捷键总结

Eclipse插件推荐

使用Eclipse的UML插件生成类图

A French Input Method

ssh远程登录学校机房电脑

多张图片合并为pdf, 合并mp3, 批量压缩图片

git push使用代理

[更新]访问google服务和优酷去广告功能的host列表

用pandoc自由转换markdown与html格式

github上两个比较有用的小项目

关于用pelican写博客的三点tips

打乱文本的行

在bolg页面上加入ubuntu发布倒计时图标

不用安装插件, 设置chrome点击播放flash

使用google自定义搜索以及让google收录自己的网站

修改host去除优酷奇艺网站广告

修改host访问google的所有服务

用pelican在github上创建自己的博客!

使用google doc建立在线调查表!~

自定义nautilus的菜单栏

tex插入程序代码--so easy~

xelatex--linux下tex中文的完全解决!

chrome护眼设置--把背景设置为绿豆沙

chrome输出网页为pdf!

gnome护眼设置--窗口背景设置为绿豆沙

用du命令查看各目录大小

cmus--很棒的终端音乐播放器

zip乱码解决

把抓图工具关联到ubuntu快捷键