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October 2019

Upcoming Events
 

An Apache NiFi Walkthrough: Distributing Data with Scale and Power
November 7 | 6:30 PM | CACI

Apache NiFi is an easy to use, powerful, and reliable system to process and distribute data. It comes with a wonderful management UI, a large marketplace of standard Processors, and a great Open Source Community behind it. This session will show you how to move data across servers & networks. It will show you how to manipulate data, enrich data, and stream data through custom enrichment processors. The talk is designed to walk you through the NiFi basics, while showing practical examples you can follow-along with. The examples will include showing how to perform data manipulation using a custom java processor, the ExecuteScript processor, with JavaScript and Python, and the JoltTransformData processor. Open-source tools, such as Jolt, jQ, and JsonPath will be demonstrated. Finally, it will show how you could prototype a REST service with Standard Processors! There will even be a light-bulb flashing from things happening in NiFi.
For more information and to register, please click here.

Past Events


Special Session: Introduction to Machine Learning | September 2019
Video available here.

Data in the City: Analytics and Civic Data in Baltimore | August 2019
Video available here.

Data Science Student Showcase: Towson Edition | May 2019
Video available here.

Accelerated Data Science: Analytic Pipelines with GPUs | March 2019
Video available here.

Detecting Noise: Using Weakly Supervised Algorithms with EEG Data | February 2019
Video available here.
 

Partner Announcements
 

TensorFlow Conference | Oct 28 - 31 | Santa Clara

The inaugural O’Reilly TensorFlow World is the first event of its kind—gathering the TensorFlow team and machine and deep learning experts to share best practices, promising (and tested) use cases, and a firsthand look at TensorFlow 2.0. Join us and stay ahead of what's coming. Register today to save over $800 on most passes with Best Price and our 20% partner discount code: PCDWMD. But hurry—Best Price ends on August 9.
For more information and to register, click here.

 

GPU Technology Conference | Nov 4 - 6 | DC

NVIDIA’s GPU Technology Conference is the premier event on artificial intelligence. Connect with experts to get hands-on technical training and insights into the latest AI and data science approaches, applications and breakthroughs. Government registers for free (.gov or .mil email addresses). Non-Govt attendees can get 25% off registration with this code: NVRZUPPERT
For more information and to register, click here.

Opportunities

 
Upcoming Baltimore Hackathon
Have an idea for Baltimore Hackathon taking place in Spring 2020? Submit your idea here

Considering a career change?
Are you a software or system engineer, data scientist, analytic developer, or cybersecurity expert interested in learning about new opportunities?
Please send us an email to learn about opportunities available with our sponsors and partners.

Interested in side projects?
Are you an expert with data and willing to mentor, or are you an up and coming hobbyist looking for a side project to work on?
If so, please send us an email to discuss building a side project group.

Get involved!
Want to be more involved in our data science community? If you have experience running workshops, hackathons, curating newsletters, or are just interested in helping to grow the meetup, please send us an email!
 

Data News and Articles

 


 

The Gambler Who Cracked the Horse-Racing Code  Fascinating story about a gambler who beat he track for a billion dollars with an algorithm. 
For more, click here.

A Selective Overview of Deep Learning  — Overview paper that introduces common neural network models and training techniques from a statistical point of view.
For more, click here.

How Gun-detection Technology Promises to Help Prevent Mass Shootings  New tech firms are leveraging artificial intelligence to identify firearms and alert law enforcement within seconds—but they face plenty of practical challenges.
For more, click here.

NBA Data Analytics: Changing the Game  Interesting article discussing some of the analytics and visualizations applicable to NBA data.
For more, click here.

Machine Learning, Faster Speed is not a word that is regularly associated with machine learning teams. This article discusses quickly deploying and repurposing models for new problems.
For more, click here.

Data Science Best Practices  — Lessons learned from building a data science platform and team. In short, run your data science team like an engineering team.
For more, click here.
 


Machine Vision Has Learned to See Through Walls — An algorithm uses radio waves rather than visible light to detect what people are up to without revealing what they look like.
For more, click here.

The State of Machine Learning Frameworks in 2019 — In 2019, the war for ML frameworks has two remaining main contenders: PyTorch and TensorFlow. This paper suggests that researchers are abandoning TensorFlow and flocking to PyTorch in droves. Meanwhile in industry, Tensorflow is currently the platform of choice, but that may not be true for long.
For more, click here.

Clever Hide-and-Seek AIs Breaking Rules The latest research from OpenAI put its machine learning agents in a simple game of hide-and-seek, where they pursued an arms race of ingenuity, using objects in unexpected ways to achieve their goal of seeing or being seen. This type of self-taught AI could prove useful in the real world as well.
For more, click here.

How-To's and Tutorials

 

Presto Infrastructure at Lyft — Walkthrough of how Lyft uses Presto for OLAP use cases. Presto is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes ranging from gigabytes to petabytes.
For more information, click here.

Three Strategies for Working with Big Data in R — This article covers three strategies for thinking about how to use big data in R, as well as some examples of how to execute each of them.
For more information, click here.

Data Tools

 

Runway ML — Bring the power of artificial intelligence to your creative projects with an intuitive and simple visual interface.
For more information, click here and here.

Machine Learning Workspace The ML workspace is an all-in-one web-based IDE specialized for machine learning and data science. It is simple to deploy and gets you started within minutes to productively built ML solutions on your own machines. This workspace is the ultimate tool for developers preloaded with a variety of popular data science libraries (e.g., Tensorflow, PyTorch, Keras, Sklearn) and dev tools (e.g., Jupyter, VS Code, Tensorboard) perfectly configured, optimized, and integrated.
For more information, click here.

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If you are interested in speaking, hosting, or sponsoring a meetup, have opportunities to list, or local news to share, please email info@dataworksmd.org.






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