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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 5-19, 2018. 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.

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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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