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 8,000 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.

Presentations and Videos

Whenever possible we make presentations available at the Presentations page.

We now stream and host videos of meetups on Facebook and YouTube and older videos are scattered on a variety of services. They are also listed on the Presentations page.


Job openings and other announcements are on the meetup discussion board.

Upcoming Meetup

Training & Explaining: Demystifying Long Short-Term Memory (LSTM) Behaviors

August 22, 2019 06:30:00 PM

Turning again to deep learning we have Bill Gold talking to us about LSTM models.

Thank you to AT&T Labs for hosting us.

About the Talk:
Deep learning models can be highly effective at finding patterns contained in unstructured data. The impact on our lives from these deep learning models is profoundly redefining consumer products and business processes. However, deep learning is a black box often using millions of activations.

As a result, businesses that value explainability resist or do not leverage deep learning. For example, some risk, compliance and legal stakeholders resist using deep learning. The topic of this presentation is training & explaining behaviors, strengths and gaps in deep learning and natural language processing (NLP) with Long Short-Term Memory (LSTM) models.

About BIll:
Bill Gold’s career intersects data science, management consulting and technology. He has delivered $500MM+ in ROI to financial services, healthcare and legal clients. Across the customer lifecycle he’s trained and deployed: hundreds of models (some patented), commercial software and data science infrastructure with trillions of transactions and hundreds of terabytes of data, all servicing thousands of data scientists.

Bill guest lectures at Columbia and NYU, is working toward an MS in Computer Science & Machine Learning from Georgia Tech (expected 2022) and has a BS in Electrical Engineering from Hofstra University.

Pizza ( begins at 6:30, the talk starts at 7, then after we head to the local bar.


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How to contribute

If you wish to contribute to the website the process is pretty simple.

  1. Fork and clone the repository (an example can be found here)
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