Listen "365: Deep Learning Models For Recruitment"
Episode Synopsis
Jon Krohn joins me to discuss his work at untapt in designing models for HR purposes. We also discuss the power of data science across fields of medicine and epidemiology, as well as the future of deep learning.
In this episode you will learn:
Coronavirus update in New York City [2:36]
What brought Jon to New York? [5:38]
Data science and coronavirus [12:50]
Jon’s work at untapt [18:09]
Techniques used to design models in untapt [22:02]
untapt’s approach to explainability and bias [30:19]
Jon’s other contributions to data science [38:10]
Jon’s book and visual teaching styles [44:32]
LinkedIn Q&A [52:05]
Jon’s recommendation for becoming best at deep learning [1:13:09]
Additional materials: www.superdatascience.com/365
In this episode you will learn:
Coronavirus update in New York City [2:36]
What brought Jon to New York? [5:38]
Data science and coronavirus [12:50]
Jon’s work at untapt [18:09]
Techniques used to design models in untapt [22:02]
untapt’s approach to explainability and bias [30:19]
Jon’s other contributions to data science [38:10]
Jon’s book and visual teaching styles [44:32]
LinkedIn Q&A [52:05]
Jon’s recommendation for becoming best at deep learning [1:13:09]
Additional materials: www.superdatascience.com/365
More episodes of the podcast Super Data Science: ML & AI Podcast with Jon Krohn
953: Beyond “Agent Washing”: AI Systems That Actually Deliver ROI, with Dell’s Global CTO John Roese
30/12/2025
952: How to Avoid Burnout and Get Promoted, with “The Fit Data Scientist” Penelope Lafeuille
26/12/2025
948: In Case You Missed It in November 2025
12/12/2025
946: How Robotaxis Are Transforming Cities
05/12/2025
945: AI is a Joke, with Joel Beasley
02/12/2025
944: Gemini 3 Pro: Google’s Back on Top
28/11/2025
ZARZA We are Zarza, the prestigious firm behind major projects in information technology.