原创 Fantope Projection and Selection: A near-optimal convex relaxation of sparse PCA

Goal Theorey 1 How to get their formulation 2 Consistency Algorithm 1. Goal This paper mainly deals with Spa

原创 [Getting and Cleaning data] Week 1

Week 1 Raw Data VS Processed Data Raw Data VS Tidy Data Download files Reading flat local file Reading Excel file

原创 [Help] Proximal mapping

Properties of Proximal mapping 1 L1 Lipschitz and monotone 2 Projection Property 3 Scaling and translation argume

原创 [Latex] natbib package to cite references

Overview Loading Basic commands Multiple citations Numerical mode Partial citations Forcing upper cased names Ci

原创 [R] How to install RMySQL package on Window

Installing RMySQL package under Window Installing RMySQL package under Window From http://www.ahschulz.de/2

原创 [Latex] font size

C-E Translate E to C 1. C-E 初號 小初 一號 小一 二號 小二 三號 小三 42pt 36pt 26pt 24pt 22pt 18pt 16pt 15pt 四號 小四 五

原创 [Getting and Cleaning data] swirl

Manipulating Data with dplyr Package Grouping and Chaining with dplyr package Tidying Data with tidyr package Typ

原创 [Getting and Cleaning data] Week 2

Week 2 Reading data from MySQL Reading data from HDF5 Reading data from website Reading data from API For mor

原创 [Getting and Cleaning data] Quiz 2

Question 1 Question 2 Question 3 Question 4 Question 5 For more detail, see the html file here. Question 1 Regi

原创 [Getting and Cleaning data] Quiz 3

Question 1 Question 2 Question 3 Question 4 Question 5 More details can be found in the html file here. Questio

原创 [Getting and Cleaning data] Week 4

Week 4 Editing text variables Regular expressions Working with dates More details could be found in the html

原创 [Getting and Cleaning data] Week 3

Week 3 Subsetting and Sorting Summarizing data Creating new variables Reshaping data Managing data frame with dpl

原创 [Getting and Cleaning data] Quiz 4

Question 1 Question 2 Question 3 Question 4 Question 5 More details can be found in the html file here. Questio

原创 [Getting and Cleaning data] Quiz 1

Quiz 1 Question 1 QUestion 2 Question 3 Question 4 Question 5 For more detail, you can download the html file

原创 [first order method] Proximal Gradient Descent

Proximal gradient descent Example 1 Proximal gradient descent Unconstrained Problem with cost function split in