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Predictive Analytics : the Power To Predict Who Will Click, Buy, Lie, Or Die /

"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, fasci...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Siegel, Eric
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken, N.J. : Wiley, 2016.
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Praise for Predictive Analytics; Title Page; Copyright; Dedication; Foreword Thomas H. Davenport; Preface to the Revised and Updated Edition; Frequently Asked Questions about Predictive Analytics; Preface to the Original Edition; Introduction: The Prediction Effect; Prediction in Big Business-The Destiny of Assets; Introducing ... the Clairvoyant Computer; "Feed Me!"-Food for Thought for the Machine; I Knew You Were Going to Do That; The Limits and Potential of Prediction; The Field of Dreams; Organizational Learning; The New Super Geek: Data Scientists; The Art of Learning.
  • Chapter 1: Liftoff! Prediction Takes ActionGoing Live; A Faulty Oracle Everyone Loves; Predictive Protection; A Silent Revolution Worth a Million; The Perils of Personalization; Deployment's Detours and Delays; In Flight; Elementary, My Dear: The Power of Observation; To Act Is to Decide; A Perilous Launch; Houston, We Have a Problem; The Little Model That Could; Houston, We Have Liftoff; A Passionate Scientist; Launching Prediction into Inner Space; Chapter 2: With Power Comes Responsibility: Hewlett-Packard, Target, the Cops, and the NSA Deduce Your Secrets.
  • The Prediction of Target and the Target of PredictionA Pregnant Pause; My 15 Minutes; Thrust into the Limelight; You Can't Imprison Something That Can Teleport; Law and Order: Policies and Policing of Data; The Battle over Data; Data Mining Does Not Drill Down; HP Learns about Itself; Insight or Intrusion?; Flight Risk: I Quit!; Insights: The Factors behind Quitting; Delivering Dynamite; The Value Gained from Flight Risk; Predicting Crime to Stop It Before It Happens; The Data of Crime and the Crime of Data; Machine Risk without Measure; The Cyclicity of Prejudice.
  • Good Prediction, Bad PredictionThe Source of Power; Chapter 3: The Data Effect: A Glut at the End of the Rainbow; A Cautionary Tale: Orange Lemons; The Source: Otherwise Boring Logs Fuel Prediction; Social Media and Mass Public Mood; Recycling the Data Dump; The Instrumentation of Everything We Do; Batten Down the Hatches: TMI; Who's Your Data?; The Data Effect: It's Predictive; The Building Blocks: Predictors; Far Out, Bizarre, and Surprising Insights; Caveat #1: Correlation Does Not Imply Causation; Caveat #2: Securing Sound Discoveries; What Went Wrong: Accumulating Risk.
  • The Potential and Danger of Automating Science: Vast SearchA Failsafe for Sound Results; A Prevalent Mistake; Putting All the Predictors Together; Chapter 4: The Machine That Learns: A Look inside Chase's Prediction of Mortgage Risk; Boy Meets Bank; Bank Faces Risk; Prediction Battles Risk; Risky Business; The Learning Machine; Building the Learning Machine; Learning from Bad Experiences; How Machine Learning Works; Decision Trees Grow on You; Computer, Program Thyself; Learn Baby Learn; Bigger Is Better; Overlearning: Assuming Too Much; The Conundrum of Induction.