"Shelby has her hands full managing her new agency where she hopes to put her mind-reading skills to good use. Her first case to track down money stolen from a bank leads her into the lingerie business where nothing is as it appears. She also finds plenty to keep her busy with the police department and Detective Harris. But all that pales in comparison to what she must do to help Uncle Joey, the local mob boss. He knows her secret and is determined to make her use it for his own purposes."--Back cover.
ALICE FEENEYS NEW YORK TIMES AND INTERNATIONAL BESTSELLER “Boldly plotted, tightly knotted—a provocative true-or-false thriller that deepens and darkens to its ink-black finale. Marvelous.” —AJ Finn, author of The Woman in the Window My name is Amber Reynolds. There are three things you should know about me: 1. I’m in a coma. 2. My husband doesn’t love me anymore. 3. Sometimes I lie. Amber wakes up in a hospital. She can’t move. She can’t speak. She can’t open her eyes. She can hear everyone around her, but they have no idea. Amber doesn’t remember what happened, but she has a suspicion her husband had something to do with it. Alternating between her paralyzed present, the week before her accident, and a series of childhood diaries from twenty years ago, this brilliant psychological thriller asks: Is something really a lie if you believe it's the truth?
"Mesmerizing & fascinating..." —The Seattle Post-Intelligencer "The Freakonomics of big data." —Stein Kretsinger, founding executive of Advertising.com Award-winning | Used by over 30 universities | Translated into 9 languages An introduction for everyone. In this rich, fascinating — surprisingly accessible — introduction, leading expert Eric Siegel reveals how predictive analytics (aka machine learning) works, and how it affects everyone every day. Rather than a “how to” for hands-on techies, the book serves lay readers and experts alike by covering new case studies and the latest state-of-the-art techniques. Prediction is booming. It reinvents industries and runs the world. Companies, governments, law enforcement, hospitals, and universities are seizing upon the power. These institutions predict whether you're going to click, buy, lie, or die. Why? For good reason: predicting human behavior combats risk, boosts sales, fortifies healthcare, streamlines manufacturing, conquers spam, optimizes social networks, toughens crime fighting, and wins elections. How? Prediction is powered by the world's most potent, flourishing unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn. Predictive analytics (aka machine learning) unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future drives millions of decisions more effectively, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate. In this lucid, captivating introduction — now in its Revised and Updated edition — former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction: What type of mortgage risk Chase Bank predicted before the recession. Predicting which people will drop out of school, cancel a subscription, or get divorced before they even know it themselves. Why early retirement predicts a shorter life expectancy and vegetarians miss fewer flights. Five reasons why organizations predict death — including one health insurance company. How U.S. Bank and Obama for America calculated the way to most strongly persuade each individual. Why the NSA wants all your data: machine learning supercomputers to fight terrorism. How IBM's Watson computer used predictive modeling to answer questions and beat the human champs on TV's Jeopardy! How companies ascertain untold, private truths — how Target figures out you're pregnant and Hewlett-Packard deduces you're about to quit your job. How judges and parole boards rely on crime-predicting computers to decide how long convicts remain in prison. 182 examples from Airbnb, the BBC, Citibank, ConEd, Facebook, Ford, Google, the IRS, LinkedIn, Match.com, MTV, Netflix, PayPal, Pfizer, Spotify, Uber, UPS, Wikipedia, and more. How does predictive analytics work? This jam-packed book satisfies by demystifying the intriguing science under the hood. For future hands-on practitioners pursuing a career in the field, it sets a strong foundation, delivers the prerequisite knowledge, and whets your appetite for more. A truly omnipresent science, predictive analytics constantly affects our daily lives. Whether you are a
Of all the libels that have served as a means of incitement of hate against Jews, and as intellectual justification of anti-Semitism, the myth of the so-called 'Jewish Conspiracy' to gain domination of the whole world, as embodied in the forged Protocols of the Elders of Zion, is probably the most devious and the most dangerous. Previously only analyzed in academic, footnoted studies, the history of the Protocols is presented here by Judge Hadassa Ben-Itto in an eminently readable, fascinating account, telling the stories of the numerous people involved over the hundred years that the forgery has existed. Above all, this is the story of a judge who follows the Protocols into lawyers' chambers and into courtrooms in Switzerland, in South Africa, in Germany, in the United States and in Russia, and presents the reader with a detailed critical analysis of legal proceedings which culminated in fascinating courtroom drama. The truth is revealed again and again, but the lie wouldn't die.
“Will keep readers on edge from start to finish.” —Kirkus Reviews Tell the truth. Or face the consequences. Clue meets Riverdale in this page-turning thriller that exposes the lies five teens tell about a deadly night one year ago. One year ago, there was a party. At the party, someone died. Five teens each played a part and up until now, no one has told the truth. But tonight, the five survivors arrive at an isolated mansion in the hills, expecting to compete in a contest with a $50,000 grand prize. Of course…some things are too good to be true. Now, they realize they’ve been lured together by a person bent on revenge, a person who will stop at nothing to uncover what actually happened on that deadly night, one year ago. Five arrived, but not all can leave. Will the truth set them free? Or will their lies destroy them all?
In this chilling mystery from a New York Times bestselling author, a storm strands a group of teens in a creepy motel—leaving them trapped with a killer. Nell has always wanted to be an actor, but she doubts her ability. As a member of her school’s theater program, she prefers working backstage. On the way to a contest, an unexpected blizzard strands her acting troupe in a creepy motel. Soon they meet a group of strangers from another high school—including the mysterious and handsome Knox, who insists they play the game Two Truths and a Lie. When it’s Nell’s turn, she draws a slip of paper written in unfamiliar handwriting: I like to watch people die. I’ve lost count of how many people I’ve killed. Suddenly a night of harmless fun turns into a matter of life and death. As guests go missing, it becomes clear that a murderer is hiding in their midst ready to strike again. In a room full of liars and performers, the truth is never quite what it seems. Nell is going to have to act like her life depends on it—because it does.
From the New York Times bestselling author of the “twisty-mystery” (Vulture) novel In a Dark, Dark Wood, The Woman in Cabin 10, and The Turn of the Key comes Ruth Ware’s The Lying Game. Isa Wilde knows something terrible has happened when she receives a text from an old friend. Why would Kate summon her and their two friends to the seaside town where they briefly attended the Salten House boarding school together seventeen years ago? The four friends had quickly bonded over the Lying Game—a risky contest that involved tricking fellow boarders and faculty with their lies. Now reunited, Isa, Kate, Thea, and Fatima discover that their past lies had far-reaching effects and criminal implications that threaten them all. In order to protect their reputations, and their friendship, they must uncover the truth about what really happened all those years ago. Atmospheric and twisty, with just the right amount of chill, The Lying Game will have readers at the edge of their seats, not knowing who can be trusted in this tangled web of lies.
