December 2019

Upcoming Events

Data Workshop: Applied Supervised Machine Learning for Cyber Security
January 21 | 6:30 PM | Loyola

Bring your laptops and come learn how to build a supervised learning model for a security-related data set. Charles Givre will walk attendees through the supervised learning process with a particular focus on automating model tuning and feature engineering.
For more information and to register, please click here.

Past Events

Robotics and Machine Learning: Working with NVIDIA Jetson Kits | December 2019
Video available here.

Connect Data and Devices with Apache NiFi | November 2019
Video available here.

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

Additional videos are available here.


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!

Erias Ventures
Erias has an immediate need for Software Engineers, System Engineers, Test Engineers, Data Scientists, and System Administrators. External referral bonuses are available. For more information, please contact us at

Data News and Articles



The State of JavaScript 2019 Awesome overview of where JavaScript is at the end of 2019 with some great visualizations.
For more, click here.

The Year in AI: 2019 ML/AI Advances Recap — Recap of 2019 advances including computers learning to talk, getting better at video games, and creating synthetic content. 
For more, click here.

What My Data Science Degree Did Not Teach Me  — After graduating with a degree in data science, the author found there were much still to learn. Read about some of the lessons not taught in academia.
For more, click here.

13 Big Data Trends Top Professionals Are Watching — Data pros at 11 tech companies share the big data trends they’re keeping up with and how they’re impacting business operations.
For more, click here.

Coding Habits for Data Scientists  — Coding in Jupyter notebooks, while quick and effective, does not often follow the best coding habits and practices. In this article, read about the techniques for identifying bad habits that add to the complexity in code as well as habits that can help us partition complexity.
For more, click here.

DeepMind’s AI and StarCraft II — Earlier in the year, AlphaStar, an AI system developed by DeepMind, had beaten two professional StarCraft players but now it outranks a vast majority of active StarCraft players.
For more, click here.

Predicting Opponent Strategy in StarCraft — This article discusses how a Bayesian network model could be used to predict an opponent's strategy in StarCraft.
For more, click here.

How-To's and Tutorials


An Introduction to R With Hockey Data — A beginner's article on learning R through the use of hockey data. 
For more information, click here.

How to Build a Machine Learning Project in Elixir — A tutorial covering how to use Elixir to extract and process data to then provide intelligence and suggestions to customers.
For more information, click here.

Data Tools and Resources


Resources for Analytics Engineers A curation of good blog posts and books for analytics engineers, data analysts, and data scientists.
For more information, click here.

Shape Up: Stop Running in Circles and Ship Work that Matters — Free book from the Head of Product Strategy at Basecamp for product development teams who struggle to shape, build, and ship.
For more information, click here.

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

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Data Works MD · 101 W Dickman St · Baltimore, MD 21784-9239 · USA

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