Our monthly events feature presentations and discussions from local experts.
Our monthly newsletter features links to interesting articles, tutorials, and tools related to data science, analytics, and big data.
Data Works MD consists of professionals, students, and enthusiasts living and working in the Maryland area that are interested in topics related to data science, data analytics, data products, software engineering, machine learning, and other data engineering topics.
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January 13, 2022
The toll that mental illness takes worldwide is enormous, and in the U.S. in 2016 suicide became the second leading cause of death among those aged 10-34 and the fourth among those aged 35-54. Compounding these existing problems is an “echo pandemic” in the wake of COVID-19, as people have struggled with isolation, stress, and sustained disruptions of day to day life. This talk will look at opportunities and challenges in applying natural language processing and machine learning approaches to assess suicide risk and in computational research on mental health more generally. This will include advocating for a shift in emphasis from binary classification to prioritization under limited-resource constraints, as well as a discussion of secure data enclaves as a practical way to make technological collaborations possible with sensitive data.
February 27, 2022
In 2019 a new frontend architecture raised from the community getting more traction in medium-large size companies. The community splits into people who believes micro-frontends could help delivering autonomous part of our applications accelerating and improving the way organisations work and who believes are not a silver bullet and they could be considered almost an anti-pattern. During this session, Luca will provide an explanation of what micro-frontends are and what are the key concepts behind this new frontend architecture
The DAX Conference 2022 will focus on data science, analytics, and general data exploration. Engineers, data scientists, analytic developers, system architects, and business leaders are encouraged to share their experiences and present a topic that would be of interest to the local data community. Expected attendees include engineers, thought leaders, business leaders, and professionals from local government, government defense and intelligence agencies, start-up companies, large data analytic and data science companies, and local universities.
D3FEND is a knowledge base, but more specifically a knowledge graph, of cybersecurity countermeasure techniques. In the simplest sense, it is a catalog of defensive cybersecurity techniques and their relationships to offensive/adversary techniques. The primary goal of the initial D3FEND release is to help standardize the vocabulary used to describe defensive cybersecurity technology functionality.
As data protection becomes more important, it becomes more and more challenging to easily work with such data. How do you both secure data while making it accessible? With homomorphic encryption, users can do just that. Join us in October to hear from one of the leaders in data protection on how data scientists can work with encrypted data.
Pandas can be tricky, and there is a lot of bad advice floating around. This talk will cut through some of the biggest issues I've seen with Pandas code after working with the library for a while and writing two books on it.
Learning quantum computing can be daunting due to the need to learn matrix algebra and probabilities. However, that doesn’t have to be the case. You can solve existing business problems with just college algebra and python. This presentation will show how an optimization problem can be set up on a quantum computer. The business problem is based on a state lottery trying to minimize sales (consumer taxes) in specific locations, while maximizing state-wide total revenue. This presentation offers a first-step approach to learning quantum computing by walking through code that runs on a D-Wave adiabatic quantum machine.
In this talk, we introduce Datawave, a complete ingest, query, and analytic framework for Accumulo. Datawave, recently open-sourced by the National Security Agency, capitalizes on Accumulo's capabilities, provides an API for working with structured and unstructured data, and boasts a robust, flexible, and scalable backend. We'll do a deep dive into Datawave's project layout, table structures, and APIs in addition to demonstrating the Datawave quickstart—a tool that makes it incredibly easy to hit the ground running with Accumulo and Datawave without having to develop a complete application.
Demo-Driven exploration of graph analytics to identify criminals, discover trolls, analyze social networks, and more using community detection, centrality, link prediction, and graph embedding for incorporation into machine learning models, along with creating graphs from Wikipedia via wikidata. Includes all you need to get started and a review and use of two graph query languages – cypher and SPARQL across multiple environments including Neo4J, Amazon Neptune, and Nvidia Cuda graphs for large scale graph processing using GPUs. Relationships are what it is all about
We are proudly supported by the following organizations.
Erias Ventures was founded to serve its customers with an entrepreneurship mindset. We value taking action, having the courage to commit, and persevering through challenges and failures.
Varen Technologies is a trusted industry leader delivering innovative solutions in cyber security, analytics, augmented intelligence, Agile Software Development and IT/maintenance for our partner clients including the federal government, Department of Defense, Homeland Security and other Cyber Defense organizations.
ClearEdge is a mission-driven technology thought leader grown out of the Intelligence Community that provides software engineering, big data, cloud, data analytics, and data science solutions and services. We are committed to exceeding our customer’s expectations by attracting and retaining top-tier engineers and experts.