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- The Data Science Podcast with Fexingo: Analytics, Machine Learning, and Data-Driven Conversations
The Data Science Podcast with Fexingo: Analytics, Machine Learning, and Data-Driven Conversations
Data scientists, machine learning engineers, and technical data team leads.
- Est. audience
- 100
- Apple rating
- 5 from 1
- Cadence
- Daily
- Latest
- 2026-11-02
- By
- Fexingo
- Based on
- 12 recent episodes
- Covers: Workflows, feature engineering, model deployment, RAG optimization, model drift, and edge computing for production systems.
- For: Data scientists, machine learning engineers, and technical data team leads.
- Best for: Data engineers and data scientists deploying and maintaining enterprise machine learning systems.
- Skip if: Non-technical executives or beginners looking for basic data literacy and general business news.
Start with
- How Data Teams Ship Models Without Breaking Production: Explains how to bridge the gap between offline accuracy and online stability during model deployment.
- How Data Teams Automate Feature Engineering Without Breaking Models: Examines trade-offs in automated feature generation and scaling AI feature stores.
- How Data Teams Fix Model Drift Before It Breaks Revenue: Details how to detect distribution shifts early and prevent model prediction accuracy decay in production.
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Summarised by AI from 12 recent episodes. Audience estimate and Apple rating from Podscan, checked 2026-11-03; treat the estimate as a guide and ask the show for its own numbers. Prices are not included. Report a mistake.