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"One of the more momentous books of the decade."—The New York Times Book Review Nate Silver built an innovative system for predicting baseball performance, predicted the 2008 election within a hair’s breadth, and became a national sensation as a blogger—all by the time he was thirty. He solidified his standing as the nation's foremost political forecaster with his near perfect prediction of the 2012 election. Silver is the founder and editor in chief of the website FiveThirtyEight. Drawing on his own groundbreaking work, Silver examines the world of prediction, investigating how we can distinguish a true signal from a universe of noisy data. Most predictions fail, often at great cost to society, because most of us have a poor understanding of probability and uncertainty. Both experts and laypeople mistake more confident predictions for more accurate ones. But overconfidence is often the reason for failure. If our appreciation of uncertainty improves, our predictions can get better too. This is the “prediction paradox”: The more humility we have about our ability to make predictions, the more successful we can be in planning for the future. In keeping with his own aim to seek truth from data, Silver visits the most successful forecasters in a range of areas, from hurricanes to baseball to global pandemics, from the poker table to the stock market, from Capitol Hill to the NBA. He explains and evaluates how these forecasters think and what bonds they share. What lies behind their success? Are they good—or just lucky? What patterns have they unraveled? And are their forecasts really right? He explores unanticipated commonalities and exposes unexpected juxtapositions. And sometimes, it is not so much how good a prediction is in an absolute sense that matters but how good it is relative to the competition. In other cases, prediction is still a very rudimentary—and dangerous—science. Silver observes that the most accurate forecasters tend to have a superior command of probability, and they tend to be both humble and hardworking. They distinguish the predictable from the unpredictable, and they notice a thousand little details that lead them closer to the truth. Because of their appreciation of probability, they can distinguish the signal from the noise. With everything from the health of the global economy to our ability to fight terrorism dependent on the quality of our predictions, Nate Silver’s insights are an essential read.

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Genre: Political Science
Author: Nate Silver
Publisher: Penguin
Release: 2012-09-27
File: 544 Pages
ISBN-13: 9781101595954

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Magic will break your heart. Mexico City, 1988: Meche is fifteen, awkward, and obsessed with music. Her world revolves around her two misfit friends, Sebastian and Daniela, and a stack of records. Then Meche discovers how to turn music into magic, and things takes a turn for the strange... Mexico City, 2009: Meche returns home for her estranged father’s funeral. Her family are trouble enough, but when she runs into Sebastian, long-buried childhood memories resurface. What really happened back then – and is there any magic left?

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Genre: Fiction
Author: Silvia Moreno-Garcia
Publisher: Solaris
Release: 2015-02-10
File: 272 Pages
ISBN-13: 9781849978903

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A film director is dying of cancer. His greatest film would have told the story of a European village as the last hour of 999 AD approached—bringing Armageddon. Now that story will never be told. But he’s still working it out in his head, making a film that no one will ever see.

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Genre: Comics & Graphic Novels
Author: Neil Gaiman
Publisher: Dark Horse Comics
Release: 2016-11-30
File: 96 Pages
ISBN-13: 9781630089658

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A New York Times Bestseller An Economist Best Book of 2015 "The most important book on decision making since Daniel Kahneman's Thinking, Fast and Slow." —Jason Zweig, The Wall Street Journal Everyone would benefit from seeing further into the future, whether buying stocks, crafting policy, launching a new product, or simply planning the week’s meals. Unfortunately, people tend to be terrible forecasters. As Wharton professor Philip Tetlock showed in a landmark 2005 study, even experts’ predictions are only slightly better than chance. However, an important and underreported conclusion of that study was that some experts do have real foresight, and Tetlock has spent the past decade trying to figure out why. What makes some people so good? And can this talent be taught? In Superforecasting, Tetlock and coauthor Dan Gardner offer a masterwork on prediction, drawing on decades of research and the results of a massive, government-funded forecasting tournament. The Good Judgment Project involves tens of thousands of ordinary people—including a Brooklyn filmmaker, a retired pipe installer, and a former ballroom dancer—who set out to forecast global events. Some of the volunteers have turned out to be astonishingly good. They’ve beaten other benchmarks, competitors, and prediction markets. They’ve even beaten the collective judgment of intelligence analysts with access to classified information. They are "superforecasters." In this groundbreaking and accessible book, Tetlock and Gardner show us how we can learn from this elite group. Weaving together stories of forecasting successes (the raid on Osama bin Laden’s compound) and failures (the Bay of Pigs) and interviews with a range of high-level decision makers, from David Petraeus to Robert Rubin, they show that good forecasting doesn’t require powerful computers or arcane methods. It involves gathering evidence from a variety of sources, thinking probabilistically, working in teams, keeping score, and being willing to admit error and change course. Superforecasting offers the first demonstrably effective way to improve our ability to predict the future—whether in business, finance, politics, international affairs, or daily life—and is destined to become a modern classic. From the Hardcover edition.

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Genre: Business & Economics
Author: Philip E. Tetlock
Publisher: Crown
Release: 2015-09-29
File: 352 Pages
ISBN-13: 9780804136709

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The science commentator author of the best-selling Fuzzy Thinking presents a scientific history of noise for general readers, defining noise as an unaesthetic signal that occurs at every level of the universe that has made significant contributions in each period from the ice age to the information age. 20,000 first printing.

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Genre: Science
Author: Bart Kosko
Publisher: Penguin
Release: 2006-08-17
File: 272 Pages
ISBN-13: 9781440627156

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An indispensable guide for any recent graduate that provides simple, easy-to-follow rules for making smart personal finance choices during the first decade of one's career. • Demonstrates how simple choices, especially in the years after college, can guarantee (barring misfortunes such as catastrophic illness or drug addiction) a lifelong, healthy relationship with money • Illustrates how to apply the attitudes inherent in modesty, skepticism, and optimism to all financial decision-making, both upon graduating and in the future • Includes a math refresher for understanding the basic principles of interest rates, credit card debt, investment, and retirement savings • Demystifies without boring, simplifies without condescending to, and above all highlights the relevance and practical applications of financial planning during one's first ten years out of school

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Genre: Business & Economics
Author: Michael C Taylor
Publisher: ABC-CLIO
Release: 2018-04-12
File: 209 Pages
ISBN-13: 9781440861062

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If you understand basic mathematics and know how to program with Python, you’re ready to dive into signal processing. While most resources start with theory to teach this complex subject, this practical book introduces techniques by showing you how they’re applied in the real world. In the first chapter alone, you’ll be able to decompose a sound into its harmonics, modify the harmonics, and generate new sounds. Author Allen Downey explains techniques such as spectral decomposition, filtering, convolution, and the Fast Fourier Transform. This book also provides exercises and code examples to help you understand the material. You’ll explore: Periodic signals and their spectrums Harmonic structure of simple waveforms Chirps and other sounds whose spectrum changes over time Noise signals and natural sources of noise The autocorrelation function for estimating pitch The discrete cosine transform (DCT) for compression The Fast Fourier Transform for spectral analysis Relating operations in time to filters in the frequency domain Linear time-invariant (LTI) system theory Amplitude modulation (AM) used in radio Other books in this series include Think Stats and Think Bayes, also by Allen Downey.

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Genre: Technology & Engineering
Author: Allen B. Downey
Publisher: "O'Reilly Media, Inc."
Release: 2016-07-12
File: 168 Pages
ISBN-13: 9781491938515

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Having cheated his way into the elite Academe of Pure and Applied Sciences, Jack Porter finds his chance for tenure threatened by a rival before receiving a message from the stars that entangles him in a web of deceit and betrayal

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Genre: Fiction
Author: Eric S. Nylund
Publisher: Eos
Release: 1998
File: 371 Pages
ISBN-13: UVA:X004053765

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Teaches the analytical skills necessary to glean value from the warehouses of accumulating data In this age of so-called Big Data, organizations are scrambling to implement new software and hardware to increase the amount of data they collect and store. However, in doing so they are unwittingly making it harder to find the needles of useful information in the rapidly growing mounds of hay. If you don't know how to differentiate signals from noise, adding more noise only makes things worse. When we rely on data for making decisions, how do we tell what qualifies as a signal and what is merely noise? In and of itself, data is neither. Assuming that data is accurate, it is merely a collection of facts. When a fact is true and useful, only then is it a signal. When it's not, it's noise. It's that simple. In "Signal," Stephen Few provides the straightforward, practical instruction in everyday signal detection that has been lacking until now. Using data visualization methods, he teaches how to apply statistics to gain a comprehensive understanding of one's data and adapts the techniques of Statistical Process Control in new ways to detect not just changes in the metrics but also changes in the patterns that characterize data.

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Genre: Computers
Author: Stephen Few
Publisher:
Release: 2015-05-01
File: 225 Pages
ISBN-13: 1938377052

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A Harvard scholar argues that mathematical models can provide solutions to current economic challenges, explaining that the economic meltdown of 2008 was based on a misunderstanding of scientific models rather than on the models themselves.

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Genre: Business & Economics
Author: James Owen Weatherall
Publisher: Houghton Mifflin Harcourt
Release: 2013
File: 286 Pages
ISBN-13: 9780547317274

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