365: Deep Learning Models For Recruitment

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.

An episode of the Super Data Science: ML & AI Podcast with Jon Krohn podcast, hosted by Jon Krohn, titled "365: Deep Learning Models For Recruitment" was published on May 13, 2020 and runs 81 minutes.

May 13, 2020 ·81m · Super Data Science: ML & AI Podcast with Jon Krohn

Summary

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

Episode Description