The core Bayesian idea, when learning from data, is to inject information — however slight — from outside the data. In real-world applications, meta-information is clearly needed. John Elder's Predictive Analytics World keynote covers this and more. PAW London takes place 16-17 Oct.
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Predictive Analytics World Keynote 2019
Here is what you can look forward to on 16-17 October at Predictive Analytics Worldin London, among many sessions with actionable content, case studies and deep dives:
Against all odds: the slow, startling triumph of Reverend Bayes
The core Bayesian idea, when learning from data, is to inject information — however slight — from outside the data. In real-world applications, meta-information is clearly needed — such as domain knowledge about the problem being addressed, what to optimize, what variables mean, their valid ranges, etc. But even when estimating basic features (such as rates of rare events), even vague prior information can be very valuable. This key idea has been re-discovered in many fields... read more
John Elder Founder & Chair Elder Research
John Elder chairs America’s most experienced Data Science consultancy. Founded in 1995, Elder Research has offices in Virginia, Maryland, North Carolina, Washington DC, and London. Dr. Elder co-authored 3 award-winning books on analytics, was a discoverer of ensemble methods, chairs international conferences, and is a popular keynote speaker. John is occasionally an Adjunct Professor of Systems Engineering at the University of Virginia.
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Conference produced by: Rising Media Ltd, Office 36, 88-90 Hatton Garden, London EC1N 8PN
John Elder
