The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) End-to-End Data Science to Drive Business Decisions at LinkedIn with Burcu Baran - TWiML Talk #256
Apr 24, 2019
Burcu Baran, a Senior Data Scientist at LinkedIn, shares her insights on using data science to influence business decisions. She discusses the end-to-end data science process, covering essential aspects like problem formulation, collaborative strategies, and model performance monitoring. Burcu highlights the critical role of A/B testing and feature monitoring in maintaining model effectiveness. She also emphasizes the transition from theoretical knowledge to practical applications in data science, and the importance of simplifying processes for enhanced team efficiency.
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From Pure Math to Data Science
- Burcu Baran, a mathematician, transitioned to data science after realizing the potential of applied math.
- Her math background gave her a strong foundation for analytical thinking and problem-solving in data science.
Math's Indirect Impact
- While theoretical math isn't directly used, it provides a strong foundation.
- It helps with structured thinking, understanding the "why" behind solutions, and interpreting complex models.
Full Spectrum Data Science
- Use the full spectrum of data science, from problem definition to model monitoring.
- Consider data quality, model interpretation, and feature monitoring for robust solutions.