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2,147 results for "prediction"
The Prediction By Sarah Callis
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Sasha moved to Australia from the UK to start a new life. She goes to see a psychic who predicts her future, including the man she will marry. She is convinced it is the love of her life Bill,... More > but when Bill breaks up with her and she finds out he was dating someone else all along her life goes into a spin and her views on all men become tainted. Sasha sets off to find the man of her dreams and in this book we join her on her journey through hilarious dates with Mr. Wrongs. But who is Mr. Right? Has he been there all along and will Sasha be able to overcome her tainted vision of men in order for her to be able to find and keep true happiness. Did the psychic predict her future correctly or is she really destined to live a life of spinsterhood.< Less
The Prediction By Darren Sugrue
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Nobody knows the day they’ll die... until now. Mathematical genius Daniel Geller has developed a formula to predict a person’s date of death only to have it rejected by the faculty at... More > Trinity College. Totally devastated Daniel turns his back on the world he once loved. Twelve years on, Daniel’s old professor John Redmond and his wife are coming to terms with the death of their ten-year-old son. Could Daniel's formula have predicated his death? Revisiting the thesis, the professor makes an astonishing discovery: out of the five fellow students whom Daniel used the formula on, one of them died on the exact date predicted by Daniel. One more is due to die in six days: Daniel’s ex-lover Grace. The professor draws Daniel back into the world of mathematics where he is suddenly faced with the dilemma of allowing someone he once loved to die to be one step closer in proving his thesis and enjoying a prestige he once dreamed of...< Less
Features Prediction By Anis Khan
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The above-mentioned words of God means that Indeed the friends of Al ah are neither in f ear nor in grief . Fear results from not knowing the future and grief results from what happened in one's... More > past. . The glory of the friends of Al ah is that neither they f eel grief on past events nor are they afraid of the future because when they become friends of Al ah, Al ah becomes a friend of them.< Less
The Predictability of Gambling By Dr.D.Selzer-McKenzie
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The Predictability of Gambling Author Dr.D.Selzer-McKenzie
Predictive Analytics: Microsoft Excel By Vinko Jularic
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Of course, these two broad branches aren’t mutually exclusive. There’s not a clear dividing line between situations in which you would use one and not the other, although that’s... More > often the case. But you can certainly find yourself asking questions such as these: ■ I ’ve classified my current database of prospects into likely buyers and likely non-buyers, according to demographics such as age, income, ZIP Code, and education level. Can I create a credible quarterly forecast of purchase volume if I apply the same classification criteria to a data set consisting of past prospects? ■ I ’ve extracted two principal components from a set of variables that measure the weekly performance of several product lines over the past two years. How do I forecast the performance of the products for the next quarter using the principal components as the outcome measures?< Less
Predictive Modeling and Analytics By Jeffrey Strickland
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This book is about predictive modeling. Yet, each chapter could easily be handled by an entire volume of its own. So one might think of this as a survey of predictive models, both statistical and... More > machine learning. We define A predictive model as a statistical model or machine learning model used to predict future behavior based on past behavior. In order to use this book, the reader should have a basic understanding of statistics (statistical inference, models, tests, etc.)—this is an advanced book. Every chapter culminates in an example using R. R is a free software environment for statistical computing and graphics. It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS. 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 as a textbook with problem solving in R (there are no “by-hand” exercises).< Less
2006 - 2007 Predictions By Klaudio Zic
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World predictions for the 2006 - 2007.
Simple Predictive Analytics By Curtis Seare
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This book teaches the fundamentals of statistical business analysis by using the familiar program Excel 2007. With the help of this guide, you will be able to use Excel to solve your business... More > problems through the use of predictive analytics. The book includes: An introduction to, and some fundamentals for, good analysis, a process outline to make analysis quick and effective, a description of some of the most used predictive models and methods, and a comprehensive ‘How To’ section including a step by step Excel tutorial and common pitfalls to avoid.< Less
Simple Predictive Analytics By Curtis Seare
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This book teaches the fundamentals of statistical business analysis by using the familiar program Excel 2007. With the help of this guide, you will be able to use Excel to solve your business... More > problems through the use of predictive analytics. The book includes: An introduction to, and some fundamentals for, good analysis, a process outline to make analysis quick and effective, a description of some of the most used predictive models and methods, and a comprehensive ‘How To’ section including a step by step Excel tutorial and common pitfalls to avoid.< Less
2006 - 2008 Predictions By Klaudio Zic
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Predictions for the world crisis as seen by academic astrology.