Getting Started with Deep Learning in the Enterprise

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