Snacks Weekly on Data Science

Por: Pan Wu
This podcast is about making data science and machine learning knowledge accessible and less intimidating. Every week, I will handpick one selected industrial tech blog to break it down. We will discuss some key data science concepts and machine learning algorithms, and how they are applied in those real-world applications.
Subscribe to the channel and enjoy Snacks Weekly on Data Science!
121 episodios disponibles

Latest episodes of the podcast Snacks Weekly on Data Science

Product Recommendations with LLMs and Word2Vec [CVS Health] 12/01/2026
Building AI Agents at Airtable [Airtable] 05/01/2026
Quick Thoughts and Reflections at the End of 2025 29/12/2025
Real-time Spatial and Temporal Forecasting [Lyft] 22/12/2025
GenAI Solution for Invoice Document Processing [Uber] 15/12/2025
Optimize Web Performance [Walmart] 08/12/2025
Understanding Metric Movement with Root Cause Analysis [Pinterest] 01/12/2025
Improving Search Ranking for Maps [Airbnb] 24/11/2025
Out-of-Stock Product Recommendations with Machine Learning [Instacart] 17/11/2025
Covariate Selection in Causal Inference [Booking.com] 10/11/2025
Personalizing Marketing with Uplift Modeling [Klaviyo] 03/11/2025
Quick History and Fun Facts About Halloween: Pumpkins, Candies, and Costumes 27/10/2025
Feed Ranking: From Batch Inference to Online Inference [Whatnot] 20/10/2025
Self-serve Experimentation Tool for Marketing [Tripadvisor] 13/10/2025
Global Feature Importance with Collective Wisdom [Meta] 06/10/2025
Evaluating Retrieval Capabilities of Language Models [Microsoft] 29/09/2025
Personalized Recommendation with Foundation Models [Netflix] 22/09/2025
A/B Testing vs. Multi-Armed Bandits: A Simulated Study [Vanguard] 15/09/2025
Catalog Attribute Extraction with Multi-Modal LLMs [Instacart] 08/09/2025
Segmenting Supply with a Data-Driven Methodology [Airbnb] 01/09/2025
1 2 3 ... 7 Siguiente › Última »
© 2003-2026 ZARZA | AHEAD OF OUR TIME
privacy policy
In God we trust In God we trust
PreSales Questions? Click Here
or call our toll-free line at +1-888-5002068 Miami, Florida, USA