Snacks Weekly on Data Science

Est. audience

1,000

Apple rating

5 from 10

Cadence

Weekly

Latest

2026-11-02

By

Pan Wu

Based on

12 recent episodes

• Covers: Breakdowns of industrial tech blogs covering applied machine learning algorithms, LLM workflows, ranking systems, and real-world data science architecture.
• For: Data scientists, machine learning engineers, and technical product teams.
• Best for: Practicing data scientists and ML engineers seeking practical architectural patterns from leading companies.
• Skip if: Non-technical professionals or people looking for high-level business strategy without technical details.

Start with

• Scale Human Labeling with LLMs for Better Search Relevance [Dropbox]: Using calibrated LLMs to scale training labels and train efficient search ranking models.
• Budget Allocation at Scale [Atlassian]: Optimizing multi-channel marketing spend using global payout models and constrained optimization systems.
• Semantic Search for LinkedIn’s Hiring Assistant [LinkedIn]: Building LLM-supervised candidate retrieval and ranking systems beyond basic keyword matching.

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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.