Category: Events


Your guide to events we host and sponsor around the D.C. area.

April 8th - [Webinar] Chris Conlan Presenting at Data Viz DC

RSVP via here: Talk title Goodbye PowerBI: Building an Interactive Dashboard from Scratch in D3.js Description The Department of Health and Human Services (HHS) wanted to take their web-based charting to the next level for an HIV-related project. You have all seen clunky dashboard sites that make 10 … Read more ...

Feb 25th, 2021 - [Webinar] Developing the Quant Trading Toolkit with Conlan Scientific's Open-source Cohort

Date/time: Feb 25th, 2021 at 5:00 p.m. Registration: Zoom webinar link Conlan Scientific's Open-source Development Cohort has been working on an open-source quant trading toolkit with the following key qualities. Speed - All functions are profiled for speed along multiple dimensions and types of data. Transparency - All … Read more ...

Dec 16th, 2020 - Sensor Data Collection using Microcontrollers with Will Angel

Register with Zoom: The first step in data science is getting data. For physical data about the real world, this requires a sensor-based system to collect data and get it to the data scientist. This event will provide a high level overview of how sensors can be used … Read more ...

Dec 9th, 2020 - Anomaly Detection in Distributed Software Systems with James Vance

Massive distributed software systems are used to power video game competitions, large websites like Pinterest, and many military applications. In this talk we'll discuss the unsupervised and supervised machine learning techniques used to prevent node failures and keep these systems online. Register for the webinar with Zoom: The Bethesda Data … Read more ...

November 18th, 2020 - Hardware Accelerated Algorithms for Data Science with Neil Tender

Register for the webinar with Zoom: The Bethesda Data Science Meetup is back and going virtual. Neil Tender is a computer hardware engineer working on data center and edge computer with hybrid FPGA/x86 systems. He will be presenting on how he accelerates computation using FPGAs, GPUs, ASICs, and TPUs. This … Read more ...


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