donaldRwilliams

# estimate covariance matrix with regression
library(GGMnonreg)

p = 20

pcors = GGMnonreg::gen_net(p = p)

y = MASS::mvrnorm(n = 500, 
                  mu = rep(0, p), 
                  Sigma = pcors$cors)

bearloga

---
title: "Sympy Engine"
output: html_notebook
editor_options: 
  chunk_output_type: inline
---

Assuming the "sympy" knitr engine has been registered:

```{sympy, results='asis'}

IanColdwater

Mute these words in your settings here: https://twitter.com/settings/muted_keywords

ActivityTweet
generic_activity_highlights
generic_activity_momentsbreaking
RankedOrganicTweet
suggest_activity
suggest_activity_feed
suggest_activity_highlights
suggest_activity_tweet

mike-lawrence

functions{
	// GP: computes noiseless Gaussian Process
	vector GP(real volatility, real amplitude, vector normal01, int n_x, real[] x ) {
		matrix[n_x,n_x] cov_mat ;
		real amplitude_sq_plus_jitter ;
		amplitude_sq_plus_jitter = amplitude^2 + 1e-6 ;
		cov_mat = cov_exp_quad(x, amplitude, 1/volatility) ;
		for(i in 1:n_x){
			cov_mat[i,i] = amplitude_sq_plus_jitter ;
		}

teknikqa

// On the Last.FM website go to the page which lists the tracks that you have loved.
// Open Chrome DevTools (or Firefox or any modern browser that has a built in Javacript Console)
// and run the following command.
// This basically clicks on all the delete buttons on the page and reloads the page.
jQuery('.love-button--loved').each(function(_, b) {
  b.click();
});
location.reload();

khakieconomics

# Some fake data

library(dplyr); library(rstan)

# Write out the data generation with known parameters

# Set the number of individuals
n_ind <- 50

johnmyleswhite

• Correlation is not causation (???)
• No causation without manipulation. (Holland)
• All models are wrong, some are useful. (Box)
• Statistics is the science of uncertainty. (arguably Tukey)
• Statistics is the science of learning from experience, especially experience that arrives a little bit at a time. (Efron)

hadley

If you were to give recommendations to your "little brother/sister" on things that they need to do to become a data scientist, what would those things be?

I think the "Data Science Venn Diagram" (http://drewconway.com/zia/2013/3/26/the-data-science-venn-diagram) is a great place to start. You need three things to be a good data scientist:

• Statistical knowledge
• Programming/hacking skills
• Domain expertise

Statistical knowledge

hadley

.Rproj.user
.Rhistory
.RData
*.Rproj
*.html

mbostock

license: gpl-3.0