(未設定) [2022-01-14 PyData.Tokyo] メルカリにおけるA/Bテストワークフローの改善、これまでとこれから - Google スライド
Accelerate innovation using trustworthy online controlled experiments Trustworthy Online Controlled Experiments : A Practical Guide to A/B Testing Accelerate innovation using trustworthy online controlled experiments by listening to the customers and making data-driven decisions. The book is available in English on Amazon in two versions: Kindle Paperback It is also available in Chinese (JD, Dangd
Data / MLUnder the Hood of Uber’s Experimentation PlatformAugust 28, 2018 / Global Experimentation is at the core of how Uber improves the customer experience. Uber applies several experimental methodologies to use cases as diverse as testing out a new feature to enhancing our app design. Uber’s Experimentation Platform (XP) plays an important role in this process, enabling us to launch, debug, me
You’re seeing information for Japan . To see local features and services for another location, select a different city. Show more During our inaugural Uber Technology Day, data scientist Eva Feng delivered a presentation on Uber’s experimentation platform (XP). In this article, she and colleague Zhenyu Zhao detail how Uber engineered an XP capable of rolling out new features stably and quickly at
Ever wonder how Netflix serves a great streaming experience with high-quality video and minimal playback interruptions? Thank the team of engineers and data scientists who constantly A/B test their innovations to our adaptive streaming and content delivery network algorithms. What about more obvious changes, such as the complete redesign of our UI layout or our new personalized homepage? Yes, all
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