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Evaluating Machine Learning Models: A Case Study
Recorded at:

| by Nelson Ray Follow 0 Followers on Oct 04, 2017 | NOTICE: The next QCon is in London, Mar 4 - 6, 2019. Join us!
44:35

Summary
Nelson Ray talks about on how to estimate the business impact of launching various machine learning models, in particular, those Opendoor uses for modeling the liquidity of houses.

Bio

Nelson Ray manages the Risk Science group at Opendoor in San Francisco. His team is responsible for per-home liquidity estimation and developing responsive risk models. Prior to joining Opendoor, he was a data scientist at Google and a software engineer at Metamarkets.

Software is changing the world. QCon empowers software development by facilitating the spread of knowledge and innovation in the developer community. A practitioner-driven conference, QCon is designed for technical team leads, architects, engineering directors, and project managers who influence innovation in their teams.

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