Meetup

TensorFlow's DC Introduction

The Hello, TensorFlow! post introducing the basic workings of the TensorFlow deep learning framework, up now in O'Reilly's Data, AI, and Learning sections, is a product of the local data community.

Aaron Schumacher, one of the Data Science DC organizers and an employee of Arlington-based Deep Learning Analytics, wrote the article with the support of many local reviewers, including feedback from members of the DC Machine Learning Journal Club.

Aaron will be giving a talk on the material of Hello, TensorFlow! on Wednesday June 29 as part of the Deep Dive into TensorFlow meetup to be hosted at Sapient in Arlington. It should be a great opportunity to explore and discuss this new and exciting tool!

Introducing Women Data Scientists DC

Last month, a new meetup group for women data scientists in the DC area was started by Mandi Traud and Jackie Kazil. 

Women Data Scientists DC is a meetup group for women data scientists, women who want to be data scientists, and supporters of women in data science. Their monthly meetings will include presentations by data scientists, networking events, mentoring opportunities, and workshops to learn new data science skills.

Co-founders Jackie Kazil and Mandi Traud launched on July 9th with two members, and by the next day, the group had more than 85 members and growing!

Here's what the co-founders said individually when asked about how and why they decided to start this group. 

Notes on a Meetup

This is a guest post by Catherine Madden (@catmule), a lifelong doodler who realized a few years ago that doodling, sketching, and visual facilitation can be immensely useful in a professional environment. The post consists of her notes from the most recent Data Visualization DC Meetup. Catherine works as the lead designer for the Analytics Visualization Studio at Deloitte Consulting, designing user experiences and visual interfaces for visual analytics prototypes. She prefers Paper by Fifty Three and their Pencil stylus for digital note taking. (Click on the image to open full size.)

DC NLP September 2014 Meetup Announcement: Natural Language Processing for Assistive Technologies

Curious about techniques and methods for applying data science to unstructured text? Join us at the DC NLP September Meetup!

This month, we're joined by Kathy McCoy, Professor of Computer & Information Science and Linguistics at the University of Delaware. Kathy is also a consultant for the National Institute on Disability and Rehabilitation Research (NIDRR) at the U.S. Department of Education. Her research focuses on natural language generation and understanding, particularly for assistive technologies, and she'll be giving a presentation on Replicating Semantic Connections Made by Visual Readers for a Scanning System for Nonvisual Readers.

Event Recap: DSDC June Meetup

This is a guest post by Alex Evanczuk, a software engineer at FiscalNote. Hello DC2!  My name is Alex Evanczuk, and I recently joined a government data startup right here in the nation's capital that goes by the name of FiscalNote. Our mission is to make government data easily accessible, transparent, and understandable for everyone. We are a passionate group of individuals and are actively looking for other like-minded people who want to see things change. If this is you, and particularly if you are a software developer (front-end, with experience in Ruby on Rails), please reach out to me at alex@fiscalnote.com and I can put you in touch with the right people.

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The topics covered by the presenters at June’s Data Science DC Meetup were varied and interesting. Subjects included spatial forecasting in uncertain environments, cell phone surveys in Africa (GeoPoll), causal inference models for improving the lives and prospects of Children and Youth (Child Trends), and several others.

I noticed a number of fascinating trends about the presentations I saw. The first was the simple and unadulterated love of numbers and their relationships to one another. Each presenter proudly explained the mathematical underpinnings of the models and assumptions used in their research, and most had slides that contained nothing more than a single formula or graph. In my brief time in academia, I've noticed that to most statisticians and mathematicians, numbers are their poetry, and this rang true at the event as well.

To most statisticians and mathematicians, numbers are their poetry.

The second was something that is perhaps well known to data researchers, but perhaps not so much to others, and that was that the advantages and influences of data science can extend into any industry. From business, to social work, to education, to healthcare, data science can find a way to improve our understanding of any field.

The second was something that is perhaps well known to data researchers, but perhaps not so much to others, and that was that the advantages and influences of data science can extend into any industry. From business, to social work, to education, to healthcare, data science can find a way to improve our understanding of any field.

More important than the numbers, however, is the fact that behind every data point, integer, and graph, is a human being. The human beings behind our data inspire our use of numbers and their deep understanding to develop axiomatically correct solutions for real world problems. The researchers presented data that told us how we might better understand emotional sentiment in developing countries, or make decisions on cancer treatments, or help children reach their boundless potential. For me, this is what data science is all about--how the appreciation of mathematics can help us improve the lives of human beings.

Missed the Meetup? You can review the audio files from the event here and access the slide deck here.

DC NLP January Meetup Announcement: Linguistic Libations

Curious about techniques and methods for applying data science to unstructured text? Join us at the DC NLP January Meetup! JBG_at_DCNLP

We're meeting a week later than usual this month due to the holidays, so please join us onJanuary 15th to socialize, network, and hear about the work people are doing with NLP, computational linguistics, text analytics, and more.

Many folks are still just getting back to normal after the New Year's festivities, and the local universities are on Winter break, both of which may conspire to limit our attendance in January. Rather than taking a month off, let's meet to share stories about what we've all been working on lately and see where the evening takes us. If a more substantive conversation spontaneously emerges -- a heated debate on the inherent challenges of sentiment analysis, perhaps -- all the better. Think of it as a combination of happy hour, unconference, and mini-hackathon all rolled into one. Please feel free to bring your laptop and get some work done while having a drink or two, grabbing a bite to eat, and enjoying interesting NLP-related discussions.

We'll return to our regular programming in February with formal presentations, so please let us know if you'd be interested in giving a talk at any of our future monthly meetups.

DC NLP January Meetup Wednesday, January 15, 2014

6:30 PM to 8:30 PM Stetsons Famous Bar & Grill 1610 U Street Northwest, Washington, DC

The DC NLP meetup group is for anyone in the Washington, D.C. area working in (or interested in) Natural Language Processing. Our meetings will be an opportunity for folks to network, give presentations about their work or research projects, learn about the latest advancements in our field, and exchange ideas or brainstorm. Topics may include computational linguistics, machine learning, text analytics, data mining, information extraction, speech processing, sentiment analysis, and much more.

For more information and to RSVP, please visit: http://www.meetup.com/DC-NLP/events/154933962/

October DC-NLP MeetUp Announcement

Curious about techniques and methods for applying data science to unstructured text?

DC_NLP

Our first regularly-scheduled monthly meetup was held at Stetsons Famous Bar & Grill in Adams Morgan a few weeks ago, and we had such a blast that we decided to do it again in October. Please join us for a captivating set of presentations, stimulating conversation, and refreshing libations.

At our next meetup on Wednesday, October 9, we'll host three 20-minute talks on various NLP topics:

  • Mihai Lintean recently received his doctoral degree in Computer Science from the University of Memphis and is currently working as a Research Scientist at Carney Labs. He'll describe his dissertation research in short-text semantic similarity assessment.
  • Liz Merkhofer recently completed a Master's degree in Linguistics at Georgetown University, and is now a Data Scientist at Berico Technologies. This presentation will cover her current work in rapid, large-scale text analytics based on a combination of NLP and OLAP
  • Tommy Jones is a statistician at the Science and Technology Policy Institute. He has an MS in mathematics and statistics from Georgetown University. Tommy has expertise in regression analyses, time series modeling, data mining, and other quantitative techniques. His talk will discuss methodologies for document clustering.
  • The DC NLP meetup group is for anyone in the Washington, D.C. area working in, or interested in learning about, Natural Language Processing (NLP). Our meetings will be an opportunity for folks to network, give presentations about their work or research projects, learn about the latest advancements in our field, and exchange ideas or brainstorm. Topics may include computational linguistics, machine learning, text analytics, data mining, information extraction, speech processing, sentiment analysis, and much more.

For more information and to RSVP, please visit: http://www.meetup.com/DC-NLP/events/142924012/

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