Bayesian Statistics the Fun Way - by Will Kurt (Paperback)
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<p/><br></br><p><b> About the Book </b></p></br></br>"An introduction to Bayesian statistics with simple and pop culture-based explanations. Topics covered include measuring your own uncertainty in a belief, applying Bayes' theorem, and calculating distributions"--<p/><br></br><p><b> Book Synopsis </b></p></br></br><b>Fun guide to learning Bayesian statistics and probability through unusual and illustrative examples.</b> <p/>Probability and statistics are increasingly important in a huge range of professions. But many people use data in ways they don't even understand, meaning they aren't getting the most from it. <i>Bayesian Statistics the Fun Way</i> will change that. <p/>This book will give you a complete understanding of Bayesian statistics through simple explanations and un-boring examples. Find out the probability of UFOs landing in your garden, how likely Han Solo is to survive a flight through an asteroid shower, how to win an argument about conspiracy theories, and whether a burglary really was a burglary, to name a few examples. <p/>By using these off-the-beaten-track examples, the author actually makes learning statistics fun. And you'll learn real skills, like how to: <p/>- How to measure your own level of uncertainty in a conclusion or belief<br>- Calculate Bayes theorem and understand what it's useful for<br>- Find the posterior, likelihood, and prior to check the accuracy of your conclusions<br>- Calculate distributions to see the range of your data<br>- Compare hypotheses and draw reliable conclusions from them <p/>Next time you find yourself with a sheaf of survey results and no idea what to do with them, turn to<i> Bayesian Statistics the Fun Way</i> to get the most value from your data.<p/><br></br><p><b> About the Author </b></p></br></br><b>Will Kurt</b> currently works as a Senior Data Scientist at Bombora, and has been using Bayesian statistics to solve real business problems for over half a decade. He frequently blogs about probability on his website, CountBayesie.com. Will is the author of Get Programming with Haskell (Manning Publications) and lives in Reno, Nevada.
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