I asked the Twittersphere for data science (& tangentially-related) podcasts recommendations, and got a much bigger response than I expected with some really superb recommendations, so I created a gist with the suggestions I received. They're arranged alphabetically by name below, along with relevant Twitter accounts, links, and names of the hosts (if I could find them).
Shoot me a tweet @bennyjtang if you have more suggestions to add to this list!
| # Starting with categorical data, ending with a table of log odds ratios | |
| doInstall <- TRUE # Change to FALSE if you don't want packages installed. | |
| toInstall <- c("plyr", "reshape2") | |
| if(doInstall){install.packages(toInstall, | |
| repos = "http://cran.us.r-project.org")} | |
| lapply(toInstall, library, character.only = TRUE) | |
| # Canonical example of categorical data | |
| HEC <- melt(HairEyeColor) |
| # Often when doing functional style programming you get concerned that copying or | |
| # wrapping objects might cost a lot in terms of performance. But the great thing | |
| # about an immutable object is that I don't need to create a new one if I am | |
| # handed an immutable copy. | |
| # Follow me on twitter @nimrodpriell or see my blog at http://www.educated-guess.com | |
| # for more bits of knowledge | |
| # This is what we want to figure out the performance of. It is equivalent to calling | |
| # frozenset(frozenset(frozenset(... m times (l)))...)) | |
| def frozens(l,m=100): |
| #!/bin/bash | |
| ## http://sujee.net/tech/articles/amazon-emr-beyond-basics/ | |
| echo "=== $JOBID started...." | |
| LOGDIR="/var/logs/hadoop-logs/${JOBNAME}__${JOBID}__${TIMESTAMP}" | |
| mkdir -p "${LOGDIR}" | |
| ## stuff below is to wait till the jobs is done |