Download or read book The Predictive Mind written by Jakob Hohwy and published by OUP Oxford. This book was released on 2013-11-28 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: A new theory is taking hold in neuroscience. It is the theory that the brain is essentially a hypothesis-testing mechanism, one that attempts to minimise the error of its predictions about the sensory input it receives from the world. It is an attractive theory because powerful theoretical arguments support it, and yet it is at heart stunningly simple. Jakob Hohwy explains and explores this theory from the perspective of cognitive science and philosophy. The key argument throughout The Predictive Mind is that the mechanism explains the rich, deep, and multifaceted character of our conscious perception. It also gives a unified account of how perception is sculpted by attention, and how it depends on action. The mind is revealed as having a fragile and indirect relation to the world. Though we are deeply in tune with the world we are also strangely distanced from it. The first part of the book sets out how the theory enables rich, layered perception. The theory's probabilistic and statistical foundations are explained using examples from empirical research and analogies to different forms of inference. The second part uses the simple mechanism in an explanation of problematic cases of how we manage to represent, and sometimes misrepresent, the world in health as well as in mental illness. The third part looks into the mind, and shows how the theory accounts for attention, conscious unity, introspection, self and the privacy of our mental world.

Download or read book Behavioral Predictive Modeling in Economics written by Songsak Sriboonchitta and published by Springer Nature. This book was released on 2020-08-05 with total page 445 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents both methodological papers on and examples of applying behavioral predictive models to specific economic problems, with a focus on how to take into account people's behavior when making economic predictions. This is an important issue, since traditional economic models assumed that people make wise economic decisions based on a detailed rational analysis of all the relevant aspects. However, in reality – as Nobel Prize-winning research has shown – people have a limited ability to process information and, as a result, their decisions are not always optimal. Discussing the need for prediction-oriented statistical techniques, since many statistical methods currently used in economics focus more on model fitting and do not always lead to good predictions, the book is a valuable resource for researchers and students interested in the latest results and challenges and for practitioners wanting to learn how to use state-of-the-art techniques.

Download or read book Predictive Analytics written by Eric Siegel and published by John Wiley & Sons. This book was released on 2016-01-13 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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 consumer of it — or consumed by it — get a handle on the power of Predictive Analytics.

Download or read book Predictive Analytics written by Eric Siegel and published by John Wiley & Sons. This book was released on 2016-01-12 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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

Download or read book Predictive Evaluation written by David Basarab and published by Berrett-Koehler Publishers. This book was released on 2010-12-13 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt: At last, an answer to the question that has bedeviled trainers for decades. Predictive evaluation enables you to effectively and accurately forecast training's value to your company, measure against these predictions, establish indicators to track your progress, make midcourse corrections, and report the results in a language that business executives respond to and understand. Dave Basarab explains how to begin by identifying the specific goals and beliefs you want to instill in participants. The next step is to determine exactly what these will look like when put into action. Finally you develop quantifiable measures of how employees' adopting the target beliefs and goals will impact the business. A key strength of this process is that it is profoundly collaborative—supervisors and employees work together to establish standards for success each step of the way. A how-to guide filled with worksheets, examples, and other tools, Predictive Evaluation ensures that, rather than being regarded as an expense and an act of faith, training will be seen as an investment with a concrete payoff.

Download or read book Predictive Analytics using R written by Jeffrey Strickland and published by Lulu.com. This book was released on 2015-01-16 with total page 554 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about predictive analytics. Yet, each chapter could easily be handled by an entire volume of its own. So one might think of this a survey of predictive modeling. A predictive model is a statistical model or machine learning model used to predict future behavior based on past behavior. In order to use this book, one should have a basic understanding of mathematical statistics - it is an advanced book. Some theoretical foundations are laid out but not proven, but references are provided for additional coverage. Every chapter culminates in an example using R. R is a free software environment for statistical computing and graphics. You may download R, from a preferred CRAN mirror at http: //www.r-project.org/. The book is organized so that statistical models are presented first (hopefully in a logical order), followed by machine learning models, and then applications: uplift modeling and time series. One could use this a textbook with problem solving in R-but there are no "by-hand" exercises.

Download or read book Predictive Control written by Yugeng Xi and published by John Wiley & Sons. This book was released on 2019-11-12 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a comprehensive introduction to model predictive control (MPC), including its basic principles and algorithms, system analysis and design methods, strategy developments and practical applications. The main contents of the book include an overview of the development trajectory and basic principles of MPC, typical MPC algorithms, quantitative analysis of classical MPC systems, design and tuning methods for MPC parameters, constrained multivariable MPC algorithms and online optimization decomposition methods. Readers will then progress to more advanced topics such as nonlinear MPC and its related algorithms, the diversification development of MPC with respect to control structures and optimization strategies, and robust MPC. Finally, applications of MPC and its generalization to optimization-based dynamic problems other than control will be discussed. Systematically introduces fundamental concepts, basic algorithms, and applications of MPC Includes a comprehensive overview of MPC development, emphasizing recent advances and modern approaches Features numerous MPC models and structures, based on rigorous research Based on the best-selling Chinese edition, which is a key text in China Predictive Control: Fundamentals and Developments is written for advanced undergraduate and graduate students and researchers specializing in control technologies. It is also a useful reference for industry professionals, engineers, and technicians specializing in advanced optimization control technology.

Download or read book Handbook of Implicit Social Cognition written by Bertram Gawronski and published by Guilford Press. This book was released on 2011-07-06 with total page 609 pages. Available in PDF, EPUB and Kindle. Book excerpt: Virtually every question in social psychology is currently being shaped by the concepts and methods of implicit social cognition. This tightly edited volume provides the first comprehensive overview of the field. Foremost authorities synthesize the latest findings on how automatic, implicit, and unconscious cognitive processes influence social judgments and behavior. Cutting-edge theories and data are presented in such crucial areas as attitudes, prejudice and stereotyping, self-esteem, self-concepts, close relationships, and morality. Describing state-of-the-art measurement procedures and research designs, the book discusses promising applications in clinical, forensic, and other real-world contexts. Each chapter both sums up what is known and identifies key directions for future research.

Download or read book The Type B Manager written by Victor Lipman and published by Penguin. This book was released on 2015-08-04 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: In The Type B Manager, Victor Lipman offers a unique lens through which to view the challenging problems of management. While management has long been considered the realm of Type A individuals—hard-driving, competitive high achievers—all too often these high-intensity traits aren’t effective when it comes to motivating your employees. Many characteristics of Type B individuals—being more relaxed, less competitive, more reflective, slower to anger—can be considered “people skills” that better influence motivation and productivity. And successful management after all is the practice of accomplishing work through other people. In a business landscape where 70 percent of employees are disengaged and not working at full productive capacity, Lipman focuses on practical tactical aspects of management viewed through a Type B lens, including: · Motivating and developing employees · Handling conflict, and · Engendering trust and respect He examines specific skills, behaviors, and situations where a Type B mindset is advantageous and suggests ways that self-described Type A managers can boost their effectiveness by adopting Type B approaches—and vice versa.

Download or read book Sizing People Up written by Robin Dreeke and published by Penguin. This book was released on 2020-01-21 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: A former FBI agent shares his simple but powerful toolkit for assessing who you can trust--and who you can't. After two decades as a behavior analyst in the FBI, Robin Dreeke knows a thing or two about sizing people up. He's navigated complex situations that range from handling Russian spies to navigating the internal politics at the Bureau. Through that experience, he was forced to develop a knack for reading people--their intentions, their capabilities, their desires and their fears. Dreeke's first book, It's Not All About "Me," has become a cult favorite with readers seeking to build quick rapport with others. His last book, The Code of Trust, was about how to inspire trust in others as a leader. In Sizing People Up, Dreeke shares his simple, six-step system that helps you predict anyone's future behavior based on their words, goals, patterns of action, and the situation at hand. Predicting the behavior of others is an urgent need for anyone whose work involves relationships with others, whether it's leading an organization, collaborating with a teammate, or closing a sale. But predictability is not as simple as good and evil, or truth and fiction. Allies might make a promise with every intention of keeping it, not realizing that they will be unable to do so due to some personal shortcoming. And those seeking to thwart your endeavor may not realize how reliable their malevolent tells have become. Dreeke's system is simple, but powerful. For instance, a colleague might have a strong moral code, but do they believe your relationship will be long-term? Even the most upstanding person can betray your trust if they don't see themselves tied to you or your desired result in the long term. How can you determine whether someone has both the skill and will to do what they've said they're going to do? Behaviors as subtle as how they take notes will reveal their reliability. Using this book as their manual, readers will be able to quickly and easily determine who they can trust and who they can't; who is likely to deliver on promises and who will disappoint; and when a person is vested in your success vs when they are actively plotting your demise. With this knowledge they can confidently embark on anything from a business venture to a romantic relationship to a covert operation without the stress of the unknown.

Download or read book Predictive Analytics Data Mining and Big Data written by S. Finlay and published by Springer. This book was released on 2014-07-01 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: This in-depth guide provides managers with a solid understanding of data and data trends, the opportunities that it can offer to businesses, and the dangers of these technologies. Written in an accessible style, Steven Finlay provides a contextual roadmap for developing solutions that deliver benefits to organizations.

Download or read book Predictive Policing written by Walt L. Perry and published by Rand Corporation. This book was released on 2013-09-23 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: Predictive policing is the use of analytical techniques to identify targets for police intervention with the goal of preventing crime, solving past crimes, or identifying potential offenders and victims. These tools are not a substitute for integrated approaches to policing, nor are they a crystal ball. This guide assesses some of the most promising technical tools and tactical approaches for acting on predictions in an effective way.

Download or read book Predictive Models for School Leadership and Practices written by Amzat, Ismail Hussein and published by IGI Global. This book was released on 2018-09-07 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: A successful administrator is one who applies suitable or appropriate leadership styles in various situations or contexts. It is crucial to investigate how effective administrators lead their organizations in challenging and difficult times, as well as promote the accomplishments of their organization. Predictive Models for School Leadership and Practices is an essential reference source that discusses academic administration as well as administrative effectiveness in achieving organizational goals. Featuring research on topics such as teacher collaboration, school crisis management, and ITC integration, this book is ideally designed for principals, researchers, academics, educational policymakers, and teachers seeking coverage on academic leadership and leadership models.

Download or read book Practical Predictive Analytics and Decisioning Systems for Medicine written by Gary D. Miner and published by Academic Press. This book was released on 2014-09-27 with total page 1111 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the advent of electronic medical records years ago and the increasing capabilities of computers, our healthcare systems are sitting on growing mountains of data. Not only does the data grow from patient volume but the type of data we store is also growing exponentially. Practical Predictive Analytics and Decisioning Systems for Medicine provides research tools to analyze these large amounts of data and addresses some of the most pressing issues and challenges where data integrity is compromised: patient safety, patient communication, and patient information. Through the use of predictive analytic models and applications, this book is an invaluable resource to predict more accurate outcomes to help improve quality care in the healthcare and medical industries in the most cost–efficient manner.Practical Predictive Analytics and Decisioning Systems for Medicine provides the basics of predictive analytics for those new to the area and focuses on general philosophy and activities in the healthcare and medical system. It explains why predictive models are important, and how they can be applied to the predictive analysis process in order to solve real industry problems. Researchers need this valuable resource to improve data analysis skills and make more accurate and cost-effective decisions. - Includes models and applications of predictive analytics why they are important and how they can be used in healthcare and medical research - Provides real world step-by-step tutorials to help beginners understand how the predictive analytic processes works and to successfully do the computations - Demonstrates methods to help sort through data to make better observations and allow you to make better predictions

Download or read book The Neuroscience of Suicidal Behavior written by Kees van Heeringen and published by Cambridge University Press. This book was released on 2018-08-23 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nearly one million people take their own lives each year world-wide - however, contrary to popular belief, suicide can be prevented. While suicide is commonly thought to be an understandable reaction to severe stress, it is actually an abnormal reaction to regular situations. Something more than unbearable stress is needed to explain suicide, and neuroscience shows what this is, how it is caused and how it can be treated. Professor Kees van Heeringen describes findings from neuroscientific research on suicide, using various approaches from population genetics to brain imaging. Compelling evidence is reviewed that shows how and why genetic characteristics or early traumatic experiences may lead to a specific predisposition that makes people vulnerable to triggering life events. Neuroscientific studies are yielding results that provide insight into how the risk of suicide may develop; ultimately demonstrating how suicide can be prevented.

Download or read book Effects of Historical and Predictive Information on Ability of Transport Pilot to Predict an Alert written by Anna C. Trujillo and published by . This book was released on 1994 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Predictive Mechanisms of the Cerebello Cerebral Networks written by Mario U. Manto and published by Frontiers Media SA. This book was released on 2020-01-24 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt: