September 2019

Upcoming Events

Health Care Analytics: Case Studies in Finance, Policy, and Risk
September 16 | 6:30 PM | UMBC

This talk will present three examples of Hilltop’s work with health care data. The first is a test case for constrained financial optimization using individual budgets for home- and community-based services. The second is a simulation exercise to identify the person-level effect of a significant policy change. Finally, I will review Hilltop’s Pre-AH™ risk stratification model, and its predictive power for the Maryland Primary Care Program.
For more information and to register, please click here.

Introduction to Machine Learning
September 30 | 6:30 PM | Loyola

Machine Learning continues its’ rise in the common day vernacular and is used anywhere from automating mundane tasks to offering intelligent insights across many industries. You may already be using a device that utilizes it. For example, a wearable fitness tracker like Fitbit, or an intelligent home assistant like Google Home. But there are much more examples of ML in use. This session will cover an introduction to Machine Learning to include data modeling, supervised/ unsupervised learning and visualizations.
For more information and to register, please click here.

Data Driven Football: Rating Players and Fantasy Success
October 17 | 6:30 PM | Visionist

In August, ESPN introduced a new way to rate college football players via a rating system they call the PlayStation Player Impact Rating. Last season, we developed a rating system for college football players that proves to perform as well as the NFL experts in identifying NFL talent. Our system, DraftGeM, uses a combination of analytics and visualizations to enable comparative analysis of college football players (peer and historic comparisons). This year we extended our rating system to NFL players. This provides the same type of rating for free agent moves, trades, or contract negotiation decisions. The underlying methodology has proven to perform well at predicting fantasy points for various fantasy scoring systems.
For more information and to register, please click here.

Past Events

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


Strata Conference | Sept 23 - 26 | New York

Strata Data Conference is where cutting-edge science and new business fundamentals intersect—and merge. It's a deep dive into emerging techniques and technologies. You'll dissect case studies, develop new skills through in-depth tutorials, share emerging best practices in data science, and imagine the future.
For more information and to register, click here.

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.

MongoDB Meetup | Sept 24 | Praxis

At this Meetup, technical engineers from MongoDB will provide an overview of the new features introduced in 4.2. 4.2 is packed with a ton of new capabilities making it even easier for developers to build world-class applications. Here are just a few:
For more information and to register, click 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!

Data News and Articles



AI Tackles Soccer  Having mastered Space Invaders, chess, and Go, Google’s artificial-intelligence researchers have created a football simulator for training the next generation of machine-learning algorithms.
For more, click here.

AI Weapons Detection in MLB  — Oriole Park at Camden Yards will become the first baseball stadium to test a new weapons detection technology that uses artificial intelligence and low-power radar.
For more, click here.

The UX of Data  Communicating data to non-technical team members can be challenging. This article discusses strategies to create empathetic, intuitive systems for sharing information.
For more, click here.

Jupyter is the new Excel  While focused on the finance industry, interesting article as to why Python is a must-learn if you want to perform powerful analysis in your job.
For more, click here.

Facial Recognition Is Suddenly Everywhere. Should You Worry? As the accuracy of such algorithms improve, governments use facial recognition in more ways—and prompt increasing privacy and fairness concerns.
For more, click here.

Progression Of A Data Scientist  — This article examines what characteristics senior product data scientists have relative to junior ones and why a healthy data-informed company should invest in the development of its data scientists.
For more, click here.

Angular vs React vs Vue: Which is the Best Choice for 2019? — It is impractical to imagine web development without HTML, CSS, and Javascript. Javascript is the soul of front-end development of web apps. This article compares three popular frameworks to determine which is the best option for building a new application.
For more, click here.

The Care and Feeding of Data Scientists — Free O'Reilly book on how to build, manage, and retain a data science team!
For more, click here.

How-To's and Tutorials


Rust Language Cheat Sheet With its focus on memory safety, efficiency and performance, Rust is slowly becoming a language to use in data science including neural networks. Get a head start with this cheat sheet!
For more information, click here.

Rust vs Python for Neural Networks Brief tutorial on how a neural network was ported to Rust and what the performance and workflows are working with such language.
For more information, click here.

How to Learn D3.js  So, you want to create amazing data visualizations on the web and you keep hearing about D3.js. But what is D3.js, and how can you learn it? Learn all about D3.js with this introduction.
For more information, click here.

Data Tools


MineRL — Project to solve Minecraft with machine learning.
For more information, click here.

Dagster Open-source library for building systems like ETL processes and ML pipelines.
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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