At first glance A/B testing is a simple matter: take a few numbers, put them into an online calculator, and read off the statistical significance. But in fact it’s a complex topic with amazing opportunities (and pitfalls) for organizations. Marton Trencseni offers a deep dive into A/B testing to provide attendees, covering lessons learned and offering suggestions how to avoid and address challenges, with the goal of raising awareness and providing attendees the information needed to improve their organizations’ experimentation cultures.
Marton Trencseni is a data engineer at Facebook in London. An engineer and physicist by training, Marton worked in various engineering roles before launching his own distributed database startup. Then Marton joined Prezi and spent three years as director of data analytics, building out Prezi’s data platform and data team. Marton regularly shares stories and practical knowledge with the data community at conferences.
©2016, O’Reilly UK Ltd • (800) 889-8969 or (707) 827-7019 • Monday-Friday 7:30am-5pm PT • All trademarks and registered trademarks appearing on oreilly.com are the property of their respective owners. • email@example.com
Apache Hadoop, Hadoop, Apache Spark, Spark, and Apache are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries, and are used with permission. The Apache Software Foundation has no affiliation with and does not endorse, or review the materials provided at this event, which is managed by O'Reilly Media and/or Cloudera.