Download or read book Predict It written by Dona Herweck Rice and published by Teacher Created Materials. This book was released on 2015-05-20 with total page 34 pages. Available in PDF, EPUB and Kindle. Book excerpt: This high-interest informational text will help students gain science content knowledge while building their literacy skills and nonfiction reading comprehension. This appropriately leveled nonfiction science reader features hands-on, simple science experiments. Third grade students will learn all about scientific predictions through this engaging text that is aligned to the Next Generation Science Standards and supports STEM education.
Download or read book Predict It Guided Reading 6 Pack written by and published by Teacher Created Materials. This book was released on 2016-12-15 with total page 34 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are you good at predicting? Have you ever made a scientific prediction? This dynamic science book will help students learn all about scientific predictions and the steps that scientists take to make good predictions. With a hands-on "Think Like a Scientist" lab activity that is aligned to the Next Generation Science Standards, this is a perfect tool to develop students' scientific practices and support STEM Education. Including a glossary and index, the helpful text features in this easy-to-read informational text support the development of content-area literacy while vibrant images keep readers engaged from cover to cover. This 6-Pack includes six copies of this Level P title and a lesson plan that specifically supports Guided Reading instruction.
Download or read book Predict It written by Azza Sharkawy and published by Science Sleuths. This book was released on 2014-10-31 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scientists look for patterns to help them make predictions. This motivating title explores different patterns in the natural world, such as day and night and the changing seasons. Using their new knowledge, readers will act like scientists by identifying weather patterns and making predictions.
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 Predicting the Next President written by Allan J. Lichtman and published by Rowman & Littlefield. This book was released on 2024-07-01 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the days after Donald Trump’s unexpected victory on election night 2016, The New York Times, CNN, and other leading media outlets reached out to one of the few pundits who had correctly predicted the outcome, Allan J. Lichtman. While many election forecasters base their findings exclusively on public opinion polls, Lichtman looks at the underlying fundamentals that have driven every presidential election since 1860. Using his 13 historical factors or “keys” (four political, seven performance, and two personality), Lichtman had been predicting Trump’s win since September 2016. In the updated 2024 edition, he applies the keys to every presidential election since 1860 and shows readers the current state of the 2024 race. In doing so, he dispels much of the mystery behind electoral politics and challenges many traditional assumptions. An indispensable resource for political junkies!
Download or read book Modeling Evaluating and Predicting IT Human Resources Performance written by Konstantina Richter and published by CRC Press. This book was released on 2015-03-06 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Numerous methods exist to model and analyze the different roles, responsibilities, and process levels of information technology (IT) personnel. However, most methods neglect to account for the rigorous application and evaluation of human errors and their associated risks. This book fills that need. Modeling, Evaluating, and Predicting IT Human Resources Performance explains why it is essential to account for the human factor when determining the various risks in the software engineering process. The book presents an IT human resources evaluation approach that is rooted in existing research and describes how to enhance existing approaches through strict use of software measurement and statistical principles and criteria. Discussing IT human factors from a risk assessment point of view, the book identifies, analyzes, and evaluates the basics of IT human performance. It details the IT human factors required to achieve desired levels of human performance prediction. It also provides a rigorous investigation of existing human factors evaluation methods, including IT expertise and Big Five, in combination with powerful statistical methods, such as failure mode and effect analysis (FMEA) and design of experiment (DoE). Supplies an overview of existing methods of human risk evaluation Provides a detailed analysis of IT role-based human factors using the well-known Big Five method for software engineering Models the human factor as a risk factor in the software engineering process Summarizes emerging trends and future directions In addition to applying well-known human factors methods to software engineering, the book presents three models for analyzing psychological characteristics. It supplies profound analysis of human resources within the various software processes, including development, maintenance, and application under consideration of the Capability Maturity Model Integration (CMMI) process level five.
Download or read book The Road Ahead written by Bill Gates and published by Penguin Group. This book was released on 1996 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this clear-eyed, candid, and ultimately reassuring
Download or read book Predict and Surveil written by Sarah Brayne and published by Oxford University Press, USA. This book was released on 2020-10-22 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: Predict and Surveil offers an unprecedented, inside look at how police use big data and new surveillance technologies. Sarah Brayne conducted years of fieldwork with the LAPD--one of the largest and most technically advanced law enforcement agencies in the world-to reveal the unmet promises and very real perils of police use of data--driven surveillance and analytics.
Download or read book Forecasting principles and practice written by Rob J Hyndman and published by OTexts. This book was released on 2018-05-08 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: Forecasting is required in many situations. Stocking an inventory may require forecasts of demand months in advance. Telecommunication routing requires traffic forecasts a few minutes ahead. Whatever the circumstances or time horizons involved, forecasting is an important aid in effective and efficient planning. This textbook provides a comprehensive introduction to forecasting methods and presents enough information about each method for readers to use them sensibly.
Download or read book The Elements of Statistical Learning written by Trevor Hastie and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 545 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book’s coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting---the first comprehensive treatment of this topic in any book. This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorization, and spectral clustering. There is also a chapter on methods for “wide” data (p bigger than n), including multiple testing and false discovery rates. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie co-developed much of the statistical modeling software and environment in R/S-PLUS and invented principal curves and surfaces. Tibshirani proposed the lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, projection pursuit and gradient boosting.
Download or read book Duck on a Bike written by David Shannon and published by Scholastic Inc.. This book was released on 2016-07-26 with total page 42 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this off-beat book perfect for reading aloud, a Caldecott Honor winner shares the story of a duck who rides a bike with hilarious results. One day down on the farm, Duck got a wild idea. “I bet I could ride a bike,” he thought. He waddled over to where the boy parked his bike, climbed on, and began to ride. At first, he rode slowly and he wobbled a lot, but it was fun! Duck rode past Cow and waved to her. “Hello, Cow!” said Duck. “Moo,” said Cow. But what she thought was, “A duck on a bike? That’s the silliest thing I’ve ever seen!” And so, Duck rides past Sheep, Horse, and all the other barnyard animals. Suddenly, a group of kids ride by on their bikes and run into the farmhouse, leaving the bikes outside. Now ALL the animals can ride bikes, just like Duck! Praise for Duck on a Bike “Shannon serves up a sunny blend of humor and action in this delightful tale of a Duck who spies a red bicycle one day and gets “a wild idea” . . . Add to all this the abundant opportunity for youngsters to chime in with barnyard responses (“M-o-o-o”; “Cluck! Cluck!”), and the result is one swell read-aloud, packed with freewheeling fun.” —Publishers Weekly “Grab your funny bone—Shannon . . . rides again! . . . A “quackerjack” of a terrific escapade.” —Kirkus Reviews
Download or read book What is Space Weather and who Should Forecast It written by United States. Congress. House. Committee on Science. Subcommittee on Environment, Technology, and Standards and published by . This book was released on 2004 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Will He Go written by Lawrence Douglas and published by Twelve. This book was released on 2020-05-19 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: In advance of the 2020 election, legal scholar Lawrence Douglas prepares readers for a less-than-peaceful transition of power. It doesn't require a strong imagination to get a sense of the mayhem Trump will unleash if he loses a closely contested election. It is no less disturbing to imagine Trump still insisting that he is the rightful leader of the nation. With millions of diehard supporters firmly believing that their revered president has been toppled by malignant forces of the Deep State, Trump could remain a force of constitutional chaos for years to come. WILL TRUMP GO? addresses such questions as: How might Trump engineer his refusal to acknowledge electoral defeat? What legal and extra-legal paths could he pursue in mobilizing a challenge to the electoral outcome? What legal, political, institutional, and popular mechanisms can be used to stop him? What would be the fallout of a failure to remove him from office? What would be the fallout of a successful effort to unseat him? Can our democracy snap back from Trump? Trump himself has essentially told the nation he will never accept electoral defeat. A book that prepares us for Trump's refusal to concede, then, is hardly speculative; it is a necessary precaution against a coming crisis.
Download or read book Amusing Ourselves to Death written by Neil Postman and published by Penguin. This book was released on 2005-12-27 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: What happens when media and politics become forms of entertainment? As our world begins to look more and more like Orwell's 1984, Neil's Postman's essential guide to the modern media is more relevant than ever. "It's unlikely that Trump has ever read Amusing Ourselves to Death, but his ascent would not have surprised Postman.” -CNN Originally published in 1985, Neil Postman’s groundbreaking polemic about the corrosive effects of television on our politics and public discourse has been hailed as a twenty-first-century book published in the twentieth century. Now, with television joined by more sophisticated electronic media—from the Internet to cell phones to DVDs—it has taken on even greater significance. Amusing Ourselves to Death is a prophetic look at what happens when politics, journalism, education, and even religion become subject to the demands of entertainment. It is also a blueprint for regaining control of our media, so that they can serve our highest goals. “A brilliant, powerful, and important book. This is an indictment that Postman has laid down and, so far as I can see, an irrefutable one.” –Jonathan Yardley, The Washington Post Book World
Download or read book Prediction Learning and Games written by Nicolo Cesa-Bianchi and published by Cambridge University Press. This book was released on 2006-03-13 with total page 4 pages. Available in PDF, EPUB and Kindle. Book excerpt: This important text and reference for researchers and students in machine learning, game theory, statistics and information theory offers a comprehensive treatment of the problem of predicting individual sequences. Unlike standard statistical approaches to forecasting, prediction of individual sequences does not impose any probabilistic assumption on the data-generating mechanism. Yet, prediction algorithms can be constructed that work well for all possible sequences, in the sense that their performance is always nearly as good as the best forecasting strategy in a given reference class. The central theme is the model of prediction using expert advice, a general framework within which many related problems can be cast and discussed. Repeated game playing, adaptive data compression, sequential investment in the stock market, sequential pattern analysis, and several other problems are viewed as instances of the experts' framework and analyzed from a common nonstochastic standpoint that often reveals new and intriguing connections.
Download or read book Against Prediction written by Bernard E. Harcourt and published by University of Chicago Press. This book was released on 2008-09-15 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: From random security checks at airports to the use of risk assessment in sentencing, actuarial methods are being used more than ever to determine whom law enforcement officials target and punish. And with the exception of racial profiling on our highways and streets, most people favor these methods because they believe they’re a more cost-effective way to fight crime. In Against Prediction, Bernard E. Harcourt challenges this growing reliance on actuarial methods. These prediction tools, he demonstrates, may in fact increase the overall amount of crime in society, depending on the relative responsiveness of the profiled populations to heightened security. They may also aggravate the difficulties that minorities already have obtaining work, education, and a better quality of life—thus perpetuating the pattern of criminal behavior. Ultimately, Harcourt shows how the perceived success of actuarial methods has begun to distort our very conception of just punishment and to obscure alternate visions of social order. In place of the actuarial, he proposes instead a turn to randomization in punishment and policing. The presumption, Harcourt concludes, should be against prediction.
Download or read book Developing a Protocol for Observational Comparative Effectiveness Research A User s Guide written by Agency for Health Care Research and Quality (U.S.) and published by Government Printing Office. This book was released on 2013-02-21 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: This User’s Guide is a resource for investigators and stakeholders who develop and review observational comparative effectiveness research protocols. It explains how to (1) identify key considerations and best practices for research design; (2) build a protocol based on these standards and best practices; and (3) judge the adequacy and completeness of a protocol. Eleven chapters cover all aspects of research design, including: developing study objectives, defining and refining study questions, addressing the heterogeneity of treatment effect, characterizing exposure, selecting a comparator, defining and measuring outcomes, and identifying optimal data sources. Checklists of guidance and key considerations for protocols are provided at the end of each chapter. The User’s Guide was created by researchers affiliated with AHRQ’s Effective Health Care Program, particularly those who participated in AHRQ’s DEcIDE (Developing Evidence to Inform Decisions About Effectiveness) program. Chapters were subject to multiple internal and external independent reviews. More more information, please consult the Agency website: www.effectivehealthcare.ahrq.gov)
