From Data to Deployment — Full Stack Data Science
This talk was held on Wednesday, March 29, 2017.
Indeed serves over 200 million job seekers a month. We have petabytes of data about jobs, resumes, clicks, impressions, applies, and hires — data that tells us everything about how these job seekers are discovering and finding new jobs. This data flows into sophisticated data science solutions that power Indeed’s most important products.
In this talk, we walk through an actual Indeed data science full-stack model building process: labeling data, performing analysis, generating features, building the model, validating the model, building infrastructure, deploying the model, and monitoring the solution. We discuss how these techniques are applicable across a broad set of domains.
Audio Description
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Transcripts
- Basic transcript (includes audio information only)
- Descriptive transcript (includes audio and visual information)
Speaker
Benjamin Link is a senior data science manager at Indeed.
Originally published at Indeed Engineering Blog.