Snacks Weekly on Data Science
Pan WuThis 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!
| Publishes | Weekly | Episodes | 32 | Founded | 7 months ago |
|---|---|---|---|---|---|
| Number of Listeners | Category | Education | |||
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Latest Episodes
In this episode, we will talk about what is technical debt in software engineering and its associated risks. We will also share a set of metrics to measure the status of technical debt and ways to help companies quantify their progress toward better ... more
In this episode, we will discuss how the Science team at Amazon designs pricing experiments to improve experimentation power. We will cover concepts like the carryover effect and spillover effect, as well as the solutions the team developed to overco... more
In this episode, we will talk about what is position bias in recommendation systems, and how the applied scientist team at Uber tackled this challenge. more
In this episode, we will take a look at one analytical approach in decision-making called Analytical Hierarchy Processing (AHP). The New York Times team leverages this AHP process to help with making better collective decisions in their technology ch... more
In this episode, we delve into a study conducted by Intuit on measuring the productivity impact of the Gen AI tool on their data analyst team. It demonstrates exciting positive productivity gains, offering an exciting outlook for many in the industry... more
Description: In this episode, we discuss how the data science team at Microsoft designed perturbation analysis to understand the Large Language Model’s performance on commonly seen tasks. more
In this episode, we discuss how DraftKings leverages Monte Carlo simulation to predict tennis game outcomes and generate probabilities to power its online gambling service. more
In this episode, we discuss the insights shared by Expedia's Machine Learning Engineering team on how they leverage the two-tower neural network architecture in the candidate generation stage of their recommendation system. more
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| Listeners per Episode | Gender Skew | Engagement Score | |||
|---|---|---|---|---|---|
| Primary Location | Social Media Reach | ||||
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