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
Om Podcasten
The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast. As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact.
Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy.
We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.