episode 15
Getting Started with Deep Learning in the Enterprise
Data Science Leaders | 40:04 | August 11, 2021
Listen how you want
Get new episodes in your inbox
Forward-thinking companies are already embedding machine learning into their business processes—and seeing the payoff of model-driven decisioning. But what about deep learning?
How can ambitious data scientists get started with deep learning? How can they satisfy their own curiosity, and eventually apply new approaches to address real business challenges? The field may be more approachable than you think.
In this episode, Eitan Anzenberg, Chief Data Scientist at Bill.com, offers his advice on getting started with deep learning.
We discuss:
- Testing, trusting, and understanding your data and your models
- Advice for reducing bias in highly regulated industries
- Considerations for getting started with deep learning
- Challenges of deep learning as a discipline
Popular episodes
Featured Guest
Mike Gualtieri, VP and Principal Analyst at Forrester
James Cham
Partner, Bloomberg Beta
EPISODE 71April 11, 2024
Unlocking the disruptive potential of generative AI: a VC perspective
Listen Now | 28:49Volodimir Olexiouk
Director of Scientific Engagement and Data Science Team Lead, BioLizard
EPISODE 70March 28, 2024