Home
Categories
EXPLORE
True Crime
Comedy
Society & Culture
Business
Sports
Technology
History
About Us
Contact Us
Copyright
© 2024 PodJoint
Podjoint Logo
US
00:00 / 00:00
Sign in

or

Don't have an account?
Sign up
Forgot password
https://is1-ssl.mzstatic.com/image/thumb/Podcasts126/v4/d8/1a/22/d81a22e4-45ee-87ac-084e-fce8ec2be64f/mza_15480890702391362489.jpg/600x600bb.jpg
Snacks Weekly on Data Science
Pan Wu
111 episodes
2 days ago
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!
Show more...
Education
RSS
All content for Snacks Weekly on Data Science is the property of Pan Wu and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
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!
Show more...
Education
https://d3t3ozftmdmh3i.cloudfront.net/staging/podcast_uploaded_nologo/39127595/39127595-1696138975145-f471d08557cb3.jpg
A/B Testing vs. Multi-Armed Bandits: A Simulated Study [Vanguard]
Snacks Weekly on Data Science
10 minutes 33 seconds
1 month ago
A/B Testing vs. Multi-Armed Bandits: A Simulated Study [Vanguard]

In this episode, we explore how Vanguard evaluated standard A/B testing against multi-armed bandits for digital experimentation. Their simulated study showed that A/B testing is often the better choice when dealing with a small number of variations, while bandit strategies, such as Thompson Sampling, become more effective as the number of variations increases. The broader lesson is that experimentation design should always be context-aware—balancing simplicity, speed, and interpretability based on your business needs.


For more details, you can refer to their published tech blog, linked here for your reference: https://medium.com/vanguard-technology/smarter-web-wins-a-b-testing-vs-multi-armed-bandits-unpacked-7f5032358513

Snacks Weekly on Data Science
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!