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SUMMARY:A-Z of A/B testing.  - Shrividya Ravi\, Data Scientist @ Metail.
DTSTART:20151203T190000Z
DTEND:20151203T210000Z
UID:TALK62632@talks.cam.ac.uk
CONTACT:Dr Sobia Hamid
DESCRIPTION:Randomised control trials have been a key part of medical scie
 nce since the 18th century. More recently they have gained rapid traction 
 in the e-commerce world where the term ‘A/B testing’ has become synony
 mous with businesses that are innovative and data-driven.\n\nA/B testing h
 as become the ‘status quo’ for retail website development - enabling p
 roduct managers and marketing professionals to positively affect the custo
 mer journey\; the sales funnel in particular. Combining event stream data 
 with sound questions and good experiment design\, these controlled trials 
 become powerful tools for insight into user behaviour.\n\nThis talk will p
 resent a comprehensive overview of A/B testing discussing both the advanta
 ges and the caveats. A series of case studies and toy examples will detail
  the myriad of analyses possible from rich web events data. Topics covered
  will include inference with hypothesis testing\, regression\, bootstrappi
 ng\, Bayesian models and parametric simulations.
LOCATION:For venue details\, please register at www.meetup.com/Data-Insigh
 ts-Cambridge/
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