Yizhar (Izzy) Toren presents:
Testing, Testing: On Experimental Drift and Data Driven Product Design
A/B testing is (and should be) the gold standard for making data driven decisions. However, basing your decisions solely on tests can lead to very bad product decisions, primarily because of different types of hard-to-track changes to your environment (aka "experimental drift"). In this talk I will explain what experimental drift is and how it can affect your product design and A/B testing choices. I will also review a few strategies of handling drift as a data scientist working in a product team and show examples.
www.pydata.org
PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.
PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.
00:00 Welcome!
00:10 Help us add time stamps or captions to this video! See the description for details.
Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVideoTimestamps