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The Signal and the Noise : Why So Many Predictions Fail–But Some Don’t. Condition is “Very Good”. Shipped with USPS Priority Mail. Great book and still in great condition, too. Not damaged, but it has been read. There is some minimal highlighting and turned page corners in the first two chapters.
Good Used Trade paperback
Signal and the Noise : Why So Many Predictions Failm – but Some Don’t, Paperback by Silver, Nate, ISBN 0143125087, ISBN-13 9780143125082, Used Good Condition, Free shipping in the US The founder of challenges myths about predictions in subjects ranging from the financial market and weather to sports and politics, profiling the world of prediction to explain how readers can distinguish true signals from hype, in a report that also reveals the sources and societal costs of wrongful predictions.
Very Good Used Condition
Publication Date. Soft cover.
Signal and the Noise : Why So Many Predictions Failm – but Some Don’t, Paperback by Silver, Nate, ISBN 0143125087, ISBN-13 9780143125082, Brand New, Free shipping in the US The founder of challenges myths about predictions in subjects ranging from the financial market and weather to sports and politics, profiling the world of prediction to explain how readers can distinguish true signals from hype, in a report that also reveals the sources and societal costs of wrongful predictions.
The Signal and the Noise : Why So Many Predictions Fail–But Some Don’t by Nate. Condition is Brand New. Shipped with USPS Priority Mail.
Product Category : Books ISBN : 0143125087 Title : The Signal and the Noise: Why So Many Predictions Fail–but Some Don’t EAN : 9780143125082 Authors : Silver, Nate Binding : Paperback Publisher : Penguin Books Publication Date : 2015-02-03 Pages : 560 Signed : False First Edition : False Dust Jacket : False List Price (MSRP) : 17.00 Height : 1.3400 inches Width : 5.4300 inches Length : 8.2700 inches Weight : 1.1000 pounds Condition : Good .
Published by Penguin Publishing Group in 2015, this textbook is not just for students but also for enthusiasts looking to understand the underpinnings of Bayesian analysis and its application in a real-world context.