Podcast hero

episode 15

Getting Started with Deep Learning in the Enterprise

Data Science Leaders | 40:04 | August 11, 2021


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

Gary Barr

Global Chief Data Officer at Legal & General Investment Management (LGIM)

EPISODE 60November 23, 2023

CDOs: Changing the Operating Model for Data & AI Transformation

Listen Now | 38:56

Stephen Kosslyn

President of Active Learning Sciences and Founder and Chief Academic Officer of Foundry College

EPISODE 59November 09, 2023

Transforming Education with Generative AI and Active Learning

Listen Now | 41:26

Chris Lauren

SVP of Product at Domino Data Lab

EPISODE 58October 26, 2023

Lessons from the First GenAI Killer App

Listen Now | 45:36

See why Fortune 100 data science leaders choose Domino