The Data Standard

Deep Learning Models? With Aaron Dant at ASRC Federal
Aaron Dant, Chief Data Scientist at ASRC Federal, sits down with The Data Standard to discuss deep learning models.

Episode Summary

Over the last several weeks, we’ve spoken to experts working on various aspects of the machine learning pipeline–from data wrangling to programmatic data labeling to specialized AI hardware. In today’s episode with ASRC’s Chief Data Scientist Aaron Dant, we discuss one of the central components of the machine-learning pipeline, deep learning models. In particular, we consider the novel challenges that arise as people get serious with deep learning, the crucial role of startups in tech, and the excitement surrounding deep learning projects.

Meet The Host

Darren Kaplan

Co-Founder & Board Member of HiQ Labs

Darren Kaplan is 2x Founder and recognized as one of the Top 20 Data Science Influencers in 2020. Darren is the co-creator of The Data Standard, the premier networking user-community for data-science, data engineers, and cybersecurity enthusiasts.

Meet The Guest

Aaron Dant

Chief Data Scientist at ASRC Federal

Over 20 years of experience building enterprise scale applications, including 10+ years developing cloud scale analytic systems for federal customers. Served as the principal software architect for numerous enterprise systems supporting petabyte+ data requirements. As the ASRC Federal Mission Solutions Chief Data Scientist, is responsible for research and development using a variety of techniques including natural language processing, supervised and unsupervised learning.