This episode discusses the importance of faster experimentation velocity and how one powerful methodology, CUPED (Controlled-experiment Using Pre-Experiment Data), can be used to achieve the goal.

Based on the tech blog shared by Data Scientists from Statsig, the blog link is: ⁠⁠⁠⁠https://www.statsig.com/blog/cuped

This episode discusses how math and data science approaches make geospatial search easy.

Based on the tech blog shared by Data Scientists from Walmart, the blog link is: ⁠⁠https://medium.com/walmartglobaltech/geospatial-search-made-easy-52c0f213ea93

This episode discusses how the New York Times cooking team made personalized recipe recommendations.

Based on the tech blog shared by Data Scientists from The New York Times, the blog link is: ⁠https://medium.com/@timesopen/how-the-new-york-times-cooking-team-makes-personalized-recipe-recommendations-669c26aa4825

This episode discusses how synthetic search data is leveraged to enable Expedia's flight price forecasting product.

Based on the tech blog shared by Data Scientists from Expedia, the blog link is: https://medium.com/expedia-group-tech/using-synthetic-search-data-for-flights-price-forecasting-4cf3277afdaf

In this episode, we will discuss Lable Noise problems and solutions as shared by Data Scientists from Walmart

Their tech blog link: https://medium.com/walmartglobaltech/label-noise-problems-and-solutions-5e38e03dd74

In this episode, we will discuss how Instacart provides incrementality measures in its advertising business, and some related data science concepts, such as randomized control trials.

Their tech blog link: https://tech.instacart.com/how-instacart-measures-the-true-value-of-advertising-the-methodology-of-ad-incrementality-aac6c58e627c

This introduces the podcast, Snacks Weekly on Data Science. This podcast is about making data science and machine learning knowledge accessible and less intimidating.

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