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“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 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 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 — and Hillary for America 2016 plans to calculate — 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. 183 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 consumer of it — or consumed by it — get a handle on the power of Predictive Analytics.
Job Hazard Analysis: A Guide for Voluntary Compliance and Beyond, Second Edition, provides a complete reference for performing JHA and setting up a JHA program. The book identifies the basic job steps and tasks, their associated hazards and risks, and safe operating procedures and hazard controls based on this analysis. Authors James Roughton and Nathan Crutchfield argue that the JHA should be the centerpiece of any risk control and occupational safety and health program. However, the traditional JHA has potential problems in gathering and analysis of task data and, with its focus on the sequence of steps, can miss the behavioral effects and the systems interactions between tools, equipment, materials, work environment, management and the individual worker. The concepts are presented for the JHA, incorporating elements from Behavior-Based Safety and Six Sigma. Readers are taken through the whole process of developing tools for identifying workplace hazards, developing systems that support hazard recognition, developing an effective JHA, and managing a JHA based program that can be easily incorporated into occupational safety and health management systems, thus allowing businesses to move from mere compliance to a pro-active safety management. The book is supported by numerous examples of JHAs, end of chapter review questions, sample checklists, action plans, and forms. Provides a basic understanding of the JHA process and a more in-depth background on the human performance improvement for a successful JHA program implementation Methodically develops the risk assessment basics needed within the JHA process Presents expanded resources that are useful in safety systems Incorporates elements from Behavior-Based Safety and Six Sigma
This handbook surveys American sentencing and corrections from global and historical views, from theoretical and policy perspectives, and with attention to a number of problem-specific issues.