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 | 139 | Founded | 3 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Category | Education | |||
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Latest Episodes
In this episode, we discuss a classic scaling problem in fraud and risk operations: too much manual review, inconsistent judgments, and growing complexity. We explore the team’s solution, Bumblebee, a multi-agent AI architecture that separates planni... more
In this episode, we explore how OLX improved discovery by combining keyword search and vector search instead of forcing a choice between the two. Keyword systems remain excellent for precision, while vector systems add semantic understanding. Togethe... more
In this episode, we explore how Udemy built a multilingual AI platform to bring its generative AI features to learners around the world. The team approached localization across three levels: a translation-first approach for broad and fast coverage, a... more
In this episode, we explore how Meta uses the “Ladder of Evidence” framework to evaluate the effectiveness of new product features. Instead of relying on a single analytical method, this framework helps teams choose the right type of evidence based o... more
In this episode, we explore how Vimeo built a customized AI system for subtitle translation—one that goes beyond basic text translation to tackle the much more challenging problem of synchronizing language with timing. We discuss how the team designe... more
In this episode, we explore how the New York Times engineering team used AI agents to scale unit test coverage across their News site. They accomplished this by building a custom coverage measurement tool, designing a two-loop human–AI workflow, and ... more
In this episode, we explore how Shopify evolved its product classification system across three major stages: from a traditional logistic regression model with TF-IDF features, to a multi-modal approach combining text and images, and finally to Vision... more
In this episode, we explore how Faire built its ads system from scratch. On the business side, we discuss why ads matter for a growing marketplace: enabling brand discovery, creating a new revenue stream, and strengthening the overall ecosystem. On t... more
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Frequently Asked Questions About Snacks Weekly on Data Science
What is Snacks Weekly on Data Science about and what kind of topics does it cover?
The content is centered around making data science and machine learning accessible by exploring real-world applications. Each episode features an industrial tech blog, dissecting core data science concepts and algorithms, demonstrating their practical implementations. This format ensures that listeners gain insights into contemporary practices in the field, enhancing their understanding without feeling overwhelmed.You can expect a blend of technical discussion paired with relatable examples, making it useful for both practitioners in the field and curious newcomers. The podcast stands out by its consistent focus on breaking down complex ideas into digestible segments, likely appealing to a diverse audience interested in technology and analy... more
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Which podcasts are similar to Snacks Weekly on Data Science?
These podcasts share a similar audience with Snacks Weekly on Data Science:
1. The Best One Yet
2. All-In with Chamath, Jason, Sacks & Friedberg
How many episodes of Snacks Weekly on Data Science are there?
Snacks Weekly on Data Science launched 3 years ago and published 139 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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