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.
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121 episodios disponibles

Latest episodes of the podcast Snacks Weekly on Data Science

Mostrando página 6 de 7

Handling Online-Offline Discrepancy in Ads Ranking System [Pinterest] 12/02/2024
Consolidate multiple machine learning models for a better performance [Instacart] 05/02/2024
Building Recommendation System with Encoder Architecture [ZipRecruiter] 29/01/2024
Leverage ChatGPT to build claim assistant functionality [Oscar Health] 22/01/2024
Ads Simulation to Accelerate Advertising Optimization [UberEats] 15/01/2024
Leveraging Generative AI for Food Recipe Creation [HelloFresh] 08/01/2024
2024-01-01 How I achieved my 2013 new year resolution through an effective and unconventional learning approach 01/01/2024
[Special episode] Different types of Data Science work and why I enjoy being a Data Scientist 25/12/2023
2023-12-18 Product Personalization with Learning to Rank [CARS24] 18/12/2023
2023-12-11 Optimising Marketing Allocation with Marketing Mix Models [Haleon] 11/12/2023
2023-12-04 Generative AI solution to create engaging email subject lines [Nextdoor] 04/12/2023
2023-11-27 Clustering-based customer segmentation [Microsoft] 27/11/2023
2023-11-20 In-video search [Netflix] 20/11/2023
2023-11-13 Geo Experimentation [Mercado Libre] 13/11/2023
2023-11-06 CUPED explained [Statsig] 06/11/2023
2023-10-30 geospatial search made easy [Walmart] 30/10/2023
2023-10-23 personalized recipe recommendations [The New York Times] 23/10/2023
2023-10-16 synthetic search data [Expedia] 16/10/2023
2023-10-09 label noise problems and solutions [Walmart] 09/10/2023
2023-10-02-instacart-ads-incrementality 02/10/2023
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