Founded by Josh Reich and Drew Conway, the New York Open Statistical Programming Meetup started as the New York R Meetup with a handful of people in an office at Union Square Ventures. Since then it has grown to over 11,000 members and has been hosted at NYU, Columbia, AOL, iHeartRadio, eBay, Work-Bench and other locations.
Our mission is to spread knowledge of statistical programming techniques in open-source languages such as R, Python, Julia and Go, and data science in general. Another important aspect is community building and socializing. The meetups start with pizza, followed by a 45-90 minute talk, ending with a trip to the local bar.
To attend please visit the meetup page.
Whenever possible we make presentations available at the Presentations page.
Job openings and other announcements are on the meetup discussion board.
Following up our earlier meetup about drake, we have its creator talking about its successor, targets.
Thank you to EcoHealth Alliance for providing the Zoom link.
This meetup is the kickoff to the second 2020 R week with The R Conference for Government & Public Sector on December 2-4. Much like our recent NYR, this is virtual, so anyone around the world can attend. Visit https://rstats.ai/gov/ to learn more and use code nyhackr for a 20% discount on tickets, including workshops.
About the Talk:
Ambitious workflows in R, such as machine learning analyses, can be difficult to manage. A single round of computation can take several hours to complete, and routine updates to the code and data tend to invalidate hard-earned results. You can enhance the maintainability, hygiene, speed, scale, and reproducibility of such projects with the targets R package. targets resolves the dependency structure of your analysis pipeline, skips tasks that are already up to date, executes the rest with optional distributed computing, and manages data storage for you. It surpasses the permanent limitations of its predecessor, drake, and provides increased efficiency and a smoother user experience. This talk demonstrates how to create and maintain a Bayesian model validation project using targets-powered automation.
Will is a statistician and software developer. He likes to solve scientific problems and engage with data analysis technologies.
The talk will begin at 7 PM EST and we will start admitting people to the event shortly before. Since this is completely remote there will be no pizza but everyone is encouraged to have pizza individually.
If you wish to contribute to the website the process is pretty simple.