data science in automotive
summary
Claims concrete outcomes: a working early warning systems that uses small datasets from vehicles retailers and social media to predict likelihood of larger field issues and trigger timely interventions, built models for quality analytics that handle limited data and express uncertainty within a decision framework, evidence of deployed driver assistance like adaptive cruise control running thousands of miles, and operational constraints including GDPR compliance and gaps in regulation.
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chapters (7)
- 0:00Intro
- 1:20Autonomous driving
- 3:02Driver assist
- 4:01Regulation
- 4:43Quality analytics
- 6:09Privacy
- 6:43Future of data science
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