Events

TensorFlow's DC Introduction

The Hello, TensorFlow! post introducing the basic workings of the TensorFlow deep learning framework, up now in O'Reilly's Data, AI, and Learning sections, is a product of the local data community.

Aaron Schumacher, one of the Data Science DC organizers and an employee of Arlington-based Deep Learning Analytics, wrote the article with the support of many local reviewers, including feedback from members of the DC Machine Learning Journal Club.

Aaron will be giving a talk on the material of Hello, TensorFlow! on Wednesday June 29 as part of the Deep Dive into TensorFlow meetup to be hosted at Sapient in Arlington. It should be a great opportunity to explore and discuss this new and exciting tool!

Supervised Machine Learning with R Workshop on April 30th

Supervised Machine Learning with R Workshop on April 30th

Data Community DC and District Data Labs are hosting a Supervised Machine Learning with R workshop on Saturday April 30th. Come out and learn about R's capabilities for regression and classification, how to perform inference with these models, and how to use out-of-sample evaluation methods for your models!

Building Data Apps with Python Workshop Returns on February 6th!

Building Data Apps with Python Workshop Returns on February 6th!

Data Community DC and District Data Labs are hosting another session of their Building Data Apps with Python workshop on Saturday February 6th from 9am - 5pm. If you're interested in learning about the data science pipeline and how to build and end-to-end data product using Python, you won't want to miss it. Register before January 23rd for an early bird discount!

Socially Responsible Algorithms at Data Science DC

Socially Responsible Algorithms at Data Science DC

Troubling instances of the mosaic effect — in which different anonymized datasets are combined to reveal unintended details — include the tracking of celebrity cab trips and the identification of Netflix user profiles. Also concerning is the tremendous influence wielded by corporations and their massive data stores, most notoriously embodied by Facebook’s secret psychological experiments