Biased


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"Poignant....important and illuminating."—The New York Times Book Review "Groundbreaking."—Bryan Stevenson, New York Times bestselling author of Just Mercy From one of the world’s leading experts on unconscious racial bias come stories, science, and strategies to address one of the central controversies of our time How do we talk about bias? How do we address racial disparities and inequities? What role do our institutions play in creating, maintaining, and magnifying those inequities? What role do we play? With a perspective that is at once scientific, investigative, and informed by personal experience, Dr. Jennifer Eberhardt offers us the language and courage we need to face one of the biggest and most troubling issues of our time. She exposes racial bias at all levels of society—in our neighborhoods, schools, workplaces, and criminal justice system. Yet she also offers us tools to address it. Eberhardt shows us how we can be vulnerable to bias but not doomed to live under its grip. Racial bias is a problem that we all have a role to play in solving.




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Elements of Causal Inference


Book Description

A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning. The mathematization of causality is a relatively recent development, and has become increasingly important in data science and machine learning. This book offers a self-contained and concise introduction to causal models and how to learn them from data. After explaining the need for causal models and discussing some of the principles underlying causal inference, the book teaches readers how to use causal models: how to compute intervention distributions, how to infer causal models from observational and interventional data, and how causal ideas could be exploited for classical machine learning problems. All of these topics are discussed first in terms of two variables and then in the more general multivariate case. The bivariate case turns out to be a particularly hard problem for causal learning because there are no conditional independences as used by classical methods for solving multivariate cases. The authors consider analyzing statistical asymmetries between cause and effect to be highly instructive, and they report on their decade of intensive research into this problem. The book is accessible to readers with a background in machine learning or statistics, and can be used in graduate courses or as a reference for researchers. The text includes code snippets that can be copied and pasted, exercises, and an appendix with a summary of the most important technical concepts.







On the Road and Off the Record with Leonard Bernstein


Book Description

Celebrating Leonard Bernstein's centenary with an intimate and detailed look at the public and private life of the Maestro written by his former assistant. Foreword by Broadway legend Harold Prince. "An affectionate portrait of an eminent musician who was driven by demons." —Kirkus Reviews "Harmon’s personable and warm account of what it was like to work for one of the twentieth century’s musical giants casts new light on Bernstein and his world." —Booklist "This multifaceted perspective gives readers plenty of salacious gossip paired with insight into Leonard Bernstein’s remarkable artistic achievements later in life." —Library Journal On the Road is a colorfully written, unforgettably entertaining and unputdownable book, and is available just in time for LB’s 100th birthday. Unreservedly recommended. —Fanfare Magazine Leonard Bernstein reeked of cheap cologne and obviously hadn't showered, shaved, or slept in a while. Was he drunk to boot? He greeted his new assistant with "What are you drinking?" Yes, he was drunk. Charlie Harmon was hired to manage the day-to-day parts of Bernstein's life. There was one additional responsibility: make sure Bernstein met the deadline for an opera commission. But things kept getting in the way: the centenary of Igor Stravinsky, intestinal parasites picked up in Mexico, teaching all summer in Los Angeles, a baker's dozen of young men, plus depression, exhaustion, insomnia, and cut-throat games of anagrams. Did the opera get written? For four years, Charlie saw Bernstein every day, as his social director, gatekeeper, valet, music copyist, and itinerant orchestra librarian. He packed (and unpacked) Bernstein's umpteen pieces of luggage, got the Maestro to his concerts, kept him occupied changing planes in Zurich, Anchorage, Tokyo, or Madrid, and learned how to make small talk with mayors, ambassadors, a chancellor, a queen, and a Hollywood legend or two. How could anyone absorb all those people and places? Because there was music: late-night piano duets, or the Maestro's command to accompany an audition, or, by the way, the greatest orchestras in the world. Charlie did it, and this is what it was like, told for the first time.