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Author: Steven Dietz
Publisher: Dramatists Play Service, Inc.
ISBN: 0822235846
Category : Performing Arts
Languages : en
Pages : 65
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Book Description
We want to believe that serendipity brings us together, but is that just a myth? Mining the comedy of missed connections, THIS RANDOM WORLD asks the serious question of how often we travel parallel paths through the world without noticing. From an ailing woman who plans one final trip, to her daughter planning one great escape and her son falling prey to a prank gone wrong, this funny, intimate, and heartbreaking play explores the lives that may be happening just out of reach of our own.
Author: Steven Dietz
Publisher: Dramatists Play Service, Inc.
ISBN: 0822235846
Category : Performing Arts
Languages : en
Pages : 65
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Book Description
We want to believe that serendipity brings us together, but is that just a myth? Mining the comedy of missed connections, THIS RANDOM WORLD asks the serious question of how often we travel parallel paths through the world without noticing. From an ailing woman who plans one final trip, to her daughter planning one great escape and her son falling prey to a prank gone wrong, this funny, intimate, and heartbreaking play explores the lives that may be happening just out of reach of our own.
Author: Igor Ushakov
Publisher: Lulu.com
ISBN: 1105883256
Category : Education
Languages : en
Pages : 115
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Book Description
It's a Random, Random, Random World presents entertaining stories about the development of probability and statistics theory.
Author: Vladimir Vovk
Publisher: Springer Science & Business Media
ISBN: 9780387001524
Category : Computers
Languages : en
Pages : 344
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Book Description
Algorithmic Learning in a Random World describes recent theoretical and experimental developments in building computable approximations to Kolmogorov's algorithmic notion of randomness. Based on these approximations, a new set of machine learning algorithms have been developed that can be used to make predictions and to estimate their confidence and credibility in high-dimensional spaces under the usual assumption that the data are independent and identically distributed (assumption of randomness). Another aim of this unique monograph is to outline some limits of predictions: The approach based on algorithmic theory of randomness allows for the proof of impossibility of prediction in certain situations. The book describes how several important machine learning problems, such as density estimation in high-dimensional spaces, cannot be solved if the only assumption is randomness.
Author: Vladimir Vovk
Publisher: Springer Nature
ISBN: 3031066499
Category : Computers
Languages : en
Pages : 490
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Book Description
This book is about conformal prediction, an approach to prediction that originated in machine learning in the late 1990s. The main feature of conformal prediction is the principled treatment of the reliability of predictions. The prediction algorithms described — conformal predictors — are provably valid in the sense that they evaluate the reliability of their own predictions in a way that is neither over-pessimistic nor over-optimistic (the latter being especially dangerous). The approach is still flexible enough to incorporate most of the existing powerful methods of machine learning. The book covers both key conformal predictors and the mathematical analysis of their properties. Algorithmic Learning in a Random World contains, in addition to proofs of validity, results about the efficiency of conformal predictors. The only assumption required for validity is that of "randomness" (the prediction algorithm is presented with independent and identically distributed examples); in later chapters, even the assumption of randomness is significantly relaxed. Interesting results about efficiency are established both under randomness and under stronger assumptions. Since publication of the First Edition in 2005 conformal prediction has found numerous applications in medicine and industry, and is becoming a popular machine-learning technique. This Second Edition contains three new chapters. One is about conformal predictive distributions, which are more informative than the set predictions produced by standard conformal predictors. Another is about the efficiency of ways of testing the assumption of randomness based on conformal prediction. The third new chapter harnesses conformal testing procedures for protecting machine-learning algorithms against changes in the distribution of the data. In addition, the existing chapters have been revised, updated, and expanded.
Author: Talia Leman
Publisher: Simon and Schuster
ISBN: 1451664893
Category : Self-Help
Languages : en
Pages : 272
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Book Description
You can be greater than you know how to be. In a world where you are pushed to know more, this book will prove that your greatest asset is often not knowing. In a world where you are told it’s all in the planning, this book will encourage you to keep your cart ahead of your horse and allow your dreams to lead you. In a world where you are told you need to become someone, this book will show you that you already are someone. The author—the foremost accidental expert on this subject—is Talia Leman. A high school student. Runner in the rain. Science enthusiast. World changer. Random kid. Writing with infectious enthusiasm, humor, and resoluteness, she shares her secrets to being more than you know how to be, including Don’t Line Up Your Ducks, Sideways Is a Better Way to Go Forward, and Too Many Cooks Is the Right Number. In this unexpectedly poignant, strikingly honest, and informative guide, Talia Leman shows you how to make room for life’s surprises, demonstrating that everyone has what it takes to make a difference for anything that matters to them. A Random Book about the Power of ANYone will move you to rethink and reimagine what’s possible, one random inspiration, one random idea, one random person at a time.
Author: Kristen Bell
Publisher: Random House Books for Young Readers
ISBN: 0593121961
Category : Juvenile Fiction
Languages : en
Pages : 41
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Book Description
#1 New York Times bestseller! Actress, producer, and parent Kristen Bell (The Good Place, Veronica Mars, Frozen) and creative director and parent Benjamin Hart have a new challenge for you and your kids: become a purple person by embracing what makes YOU special while finding common ground with those around you. What is a purple person? Great question. I mean, really great! Because purple people always ask really great questions. They bring their family, friends, and communities together, and they speak up for what’s right. They are kind and hardworking, and they love to laugh (especially at Grandpa’s funny noises)! A purple person is an everyday superhero! How do you become one? That’s the fun part! Penny Purple will lead you through the steps. Get ready to be silly, exercise your curiosity, use your voice, and be inspired. Looking to reach beyond the political divide of red and blue, Kristen Bell and Benjamin Hart have created a hilarious and joyous read-aloud that offers a wonderful message about embracing the things that bring us together as humans. This book will inspire a whole generation to paint the world purple!
Author: Adrian Nicole LeBlanc
Publisher: Simon and Schuster
ISBN: 1439124892
Category : Biography & Autobiography
Languages : en
Pages : 436
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Book Description
Selected as One of the Best Books of the 21st Century by The New York Times Set amid the havoc of the War on Drugs, this New York Times bestseller is an "astonishingly intimate" (New York magazine) chronicle of one family’s triumphs and trials in the South Bronx of the 1990s. “Unmatched in depth and power and grace. A profound, achingly beautiful work of narrative nonfiction…The standard-bearer of embedded reportage.” —Matthew Desmond, author of Evicted In her classic bestseller, journalist Adrian Nicole LeBlanc immerses readers in the world of one family with roots in the Bronx, New York. In 1989, LeBlanc approached Jessica, a young mother whose encounter with the carceral state is about to forever change the direction of her life. This meeting redirected LeBlanc’s reporting, taking her past the perennial stories of crime and violence into the community of women and children who bear the brunt of the insidious violence of poverty. Her book bears witness to the teetering highs and devastating lows in the daily lives of Jessica, her family, and her expanding circle of friends. Set at the height of the War on Drugs, Random Family is a love story—an ode to the families that form us and the families we create for ourselves. Charting the tumultuous struggle of hope against deprivation over three generations, LeBlanc slips behind the statistics and comes back with a riveting, haunting, and distinctly American true story.
Author: Random House (Firm)
Publisher: Random House Reference Publishing
ISBN:
Category : Reference
Languages : en
Pages : 456
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Book Description
Features full-color maps capturing the geographical and political boundaries of the nations of the world, along with providing information on cities and towns, cultural attractions, statistics, topographical features, and flags of all nations.
Author: Ed Yong
Publisher: Random House
ISBN: 0593133242
Category : Nature
Languages : en
Pages : 485
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Book Description
NEW YORK TIMES BESTSELLER • A “thrilling” (The New York Times), “dazzling” (The Wall Street Journal) tour of the radically different ways that animals perceive the world that will fill you with wonder and forever alter your perspective, by Pulitzer Prize–winning science journalist Ed Yong “One of this year’s finest works of narrative nonfiction.”—Oprah Daily ONE OF THE TEN BEST BOOKS OF THE YEAR: The Wall Street Journal, The New York Times, Time, People, The Philadelphia Inquirer, Slate, Reader’s Digest, Chicago Public Library, Outside, Publishers Weekly, BookPage ONE OF THE BEST BOOKS OF THE YEAR: Oprah Daily, The New Yorker, The Washington Post, The Guardian, The Economist, Smithsonian Magazine, Prospect (UK), Globe & Mail, Esquire, Mental Floss, Marginalian, She Reads, Kirkus Reviews, Library Journal The Earth teems with sights and textures, sounds and vibrations, smells and tastes, electric and magnetic fields. But every kind of animal, including humans, is enclosed within its own unique sensory bubble, perceiving but a tiny sliver of our immense world. In An Immense World, Ed Yong coaxes us beyond the confines of our own senses, allowing us to perceive the skeins of scent, waves of electromagnetism, and pulses of pressure that surround us. We encounter beetles that are drawn to fires, turtles that can track the Earth’s magnetic fields, fish that fill rivers with electrical messages, and even humans who wield sonar like bats. We discover that a crocodile’s scaly face is as sensitive as a lover’s fingertips, that the eyes of a giant squid evolved to see sparkling whales, that plants thrum with the inaudible songs of courting bugs, and that even simple scallops have complex vision. We learn what bees see in flowers, what songbirds hear in their tunes, and what dogs smell on the street. We listen to stories of pivotal discoveries in the field, while looking ahead at the many mysteries that remain unsolved. Funny, rigorous, and suffused with the joy of discovery, An Immense World takes us on what Marcel Proust called “the only true voyage . . . not to visit strange lands, but to possess other eyes.” WINNER OF THE ANDREW CARNEGIE MEDAL • FINALIST FOR THE KIRKUS PRIZE • FINALIST FOR THE NATIONAL BOOK CRITICS CIRCLE AWARD • LONGLISTED FOR THE PEN/E.O. WILSON AWARD
Author: Raymond Chi-Wing Wong
Publisher: Morgan & Claypool Publishers
ISBN: 1608452166
Category : Computers
Languages : en
Pages : 128
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Book Description
Privacy preservation has become a major issue in many data analysis applications. When a data set is released to other parties for data analysis, privacy-preserving techniques are often required to reduce the possibility of identifying sensitive information about individuals. For example, in medical data, sensitive information can be the fact that a particular patient suffers from HIV. In spatial data, sensitive information can be a specific location of an individual. In web surfing data, the information that a user browses certain websites may be considered sensitive. Consider a dataset containing some sensitive information is to be released to the public. In order to protect sensitive information, the simplest solution is not to disclose the information. However, this would be an overkill since it will hinder the process of data analysis over the data from which we can find interesting patterns. Moreover, in some applications, the data must be disclosed under the government regulations. Alternatively, the data owner can first modify the data such that the modified data can guarantee privacy and, at the same time, the modified data retains sufficient utility and can be released to other parties safely. This process is usually called as privacy-preserving data publishing. In this monograph, we study how the data owner can modify the data and how the modified data can preserve privacy and protect sensitive information. Table of Contents: Introduction / Fundamental Concepts / One-Time Data Publishing / Multiple-Time Data Publishing / Graph Data / Other Data Types / Future Research Directions
