Statistics is hot lately, due in part to the easy availability of large data sets and the successes of people like Nate Silver. These aren't your father's statistics, however. A quiet revolution has swept through the field, shifting it from traditional frequentist methods toward a more Bayesian approach. This talk will discuss Bayes' Theorem and show you how to do simple, back-of-the-envelope calculations to apply it to a wide variety of problems.
In addition, we'll also talk about common errors non-experts make when dealing with statistical conclusions, ranging from small sample size issues to the use of arbitrary endpoints to the problem of overfitting and more.
Ken Kousen is a Java Champion, Oracle Groundbreaker Ambassador, and a Grails Rock Star. He is the author of the O'Reilly books “Modern Java Recipes” and “Gradle Recipes for Android” and the Manning book “Making Java Groovy”. He also has recorded over a dozen video courses for the O'Reilly Learning Platform, covering topics related to Android, Spring, Java, Groovy, Grails, and Gradle.
In 2013, 2016, and 2017 he won a JavaOne Rockstar award. His academic background include BS degrees in Mechanical Engineering and Mathematics from M.I.T., an MA and Ph.D. in Aerospace Engineering from Princeton, and an MS in Computer Science from R.P.I. He is currently President of Kousen IT, Inc., based in Connecticut.