Upcoming Events

Accelerated Data Science: Analytic Pipelines with GPUs
March 14 @ 6:30 PM

RAPIDS is an initiative driven by NVIDIA to accelerate the complete end-to-end data science ecosystem with GPUs. It consists of several open source projects that expose familiar interfaces making it easy to accelerate the entire data science pipeline- from the ETL and data wrangling to feature engineering, statistical modeling, machine learning, and graph analysis.
For more information or to register, please click here.
 

Who, What, Where, When and How: Analyzing Documents with NLP, ML and Graphs
March 28 @ 6:30 PM

FINRA’s investigators and analysts review hundreds of thousands of various documents each year received from stock brokers and investors. Risk-based approach to determine whether and when to review the documents is in itself a risk. Finding information about the Who, What, Where, When and How contained in hundreds pages long documents is labor intensive.
FINRA employs various advancements in AI to automate and assist with review of the documents that have no structure. Using Natural Language Processing, Machine Learning and Graph Databases allows extracting crucial information as well as making key business decision with higher level of efficiency and confidence.
For more information or to register, please click here.

Partner Announcements

OSCON | July 15 - 18 | Portland
Take your career to the next level as a speaker at #OSCON Portland 2019! Submit a proposal on topics like opensource, ai, cloud-native and more–check out the full list here.
 

Next Century Women in Computing | April 16, 9:30 AM - 3:30 PM | Fall Church, VA
Women in Computing Day is a bi-yearly event for girls, aged 8-12, who are interested in the amazing feats we can accomplish with technology. Please RSVP by March 29th. 
For more information and to register, click here.
 

Loyola Data Science Career Insights | April 2, 6 PM - 8:30 PM | Baltimore, MD
Join Loyola University Maryland and Industry for a night of networking and expert panel discussion featuring data science professionals from across a variety of industries.
For more information and to register, click here.

Opportunities 

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 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 an email to discuss building a side project group.

We need help!
Want to be more involved in our data science community? If you have experience running workshops, hackathons, or are interested in helping to grow the meetup, please send an email!

Data News and Articles

The Ultimate List of Data Science Podcasts — A comprehensive list of podcasts that cover topics such as machine learning, big data analytics, and data visualization.
For more, click here.

Why Data Scientists Love Kubernetes — What you may not know is that Kubernetes also provides an unbeatable combination of features for working data scientists. The same features that streamline the software development workflow also support a data science workflow!
For more, click here.

Why I Abandoned Online Data Courses for Project-Based Learning — Hear how the author found that that project-based, self-guided learning absolutely beats taking online courses — as long as you keep a few guiding principles in mind.
For more, click here.

Why There Will Be No Data Science Job Titles By 2029 — Forbes argues that while data science degrees will exist, the titles will fade away.
For more, click here.

MIT Deep Learning Basics: Introduction and Overview with TensorFlow — As part of the MIT Deep Learning series of lectures and GitHub tutorials, this tutorial covers the basics of using neural networks to solve problems in computer vision, natural language processing, games, autonomous driving, robotics, and beyond.
For more, click here.

The Rise of the Robot Reporter — Read how in the age of newspaper layoffs how automated reporting and journalism generated by machine is on the rise.
For more, click here.

Data Tools

PlaNet: A Deep Planning Network for Reinforcement Learning — Google recently released the Deep Planning Network (PlaNet) agent, which learns a world model from image inputs only and successfully leverages it for planning.
For more, click here.

Ludwig, a Code-Free Deep Learning Toolbox — Recently Uber released Ludwig, an open source, deep learning toolbox built on top of TensorFlow that allows users to train and test deep learning models without writing code.
For more, click here.