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52 results for "predictive analytics"
Predictive Analytics using R By Jeffrey Strickland
Hardcover: List Price: $77.66 $46.60 | You Save: 40%
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(2 Ratings)
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... More > 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.< Less
Simple Predictive Analytics By Curtis Seare
eBook (PDF): $15.21
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
Paperback: $32.18
Prints in 3-5 business days
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
Predictive Modeling and Analytics By Jeffrey Strickland
Paperback: List Price: $47.53 $28.52 | You Save: 40%
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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
Predictive Crime Analysis using R By Jeffrey Strickland
Paperback: List Price: $156.21 $78.11 | You Save: 50%
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Predictive Crime Analysis using R is Dr. Strickland's second crime analysis book. In this volume, rather than using data to describe crime history, he uses it to predict crime using pattern created... More > with advanced clustering methods, crime series linkage, and text analysis. Coverage includes prediction of conventional crime and terrorist attacks. The open-source software R is introduced and used in developing crime data, including Geo-spatial data, and constructing predictive models and performing post analysis. Using actual crime data from cities like Atlanta, Dr. Strickland also shows how to simulate additional data from actual data. Simulated data can then be used in cities with insufficient actual data, but with similar demographics and human behavior.< Less
AN INVESTIGATION INTO USING NEWS ANALYTICS DATA IN VOLATILITY MODELS By Sergei Sidorov & Vladimir Balash
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Many investment companies in the U.S. and Europe have been using news analytics to improve the quality of its business. Interest in news analytics is related to the ability to predict changes of... More > prices, volatility and trading volume on the stock market. We consider different volatility models augmented with news analytics data to examine the impact of news intensity on stock volatility. The study shows that the problem of examining the impact of news intensity on volatility is far more involveed than it might seem at first sight. The study shows that the addition of news intensity or contemporaneous trading volume increases the explanatory power of standard models. The augmented models illustrated here show potential for more accurate prediction of volatility which, in turn, can lead to better risk management.< Less
Gre Analytical Writing: Solutions to the Real Essay Topics By Vibrant Publishers
eBook (ePub): $7.99
The material in this book is intended to help you prepare for the Analytical Writing section of the revised GRE test. During the test, you will be asked to respond in writing to two different types... More > of prompts. One, Analyze an Issue, requires you to follow specific directions as you take a position on a statement, claim, or recommendation. The other, Analyze an Argument, requires you to follow specific instructions as you determine the strengths and/or weaknesses presented in an argument. Since you will have limited time to develop your responses, some preparation for the test will be helpful. The Analytical Writing Measure is just one part of the GRE, but, combined with your scores on the other parts of the test, helps to predict your ability to be successful in graduate school. This book contains thirty sample Analyze an Issue essays and thirty sample Analyze an Argument essays along with the rubrics, prompts and tips to use when writing your own essays.< Less
Data Analytics Using Open-Source Tools By Jeffrey Strickland
Paperback: List Price: $46.45 $27.87 | You Save: 40%
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This book is about Data Analytics. In that respect, it is like others. What distinguishes it from the rest is the variety of open-source tool applications. This book incorporates the use of R Studio,... More > Python, SAS Studio (University Edition), and KNIME. This book is also about manipulating Big Data. Apache Hadoop on Hortonworks Sandbox is introduced and we manage, move, handle, and transform data using Apache Hive, Apache Spark, MapReduce and TEZ, with terminal shell commands and Ambari. We show you how to set up a virtual machine in Microsoft Azure. We then use the data in later chapters for modeling. We cover Descriptive Modeling and Predictive. The content includes Support Vector Machines, Decision Tree learning, Random Forests, Naïve and Empirical Bayes, Gradient Boosting, Cluster Modeling, Generalized Linear Models, Logistic Regression, and Artificial Neural Networks. Every chapter includes completely worked examples using one or more open-source tools.< Less
Data Analytics Using Open-Source Tools By Jeffrey Strickland
Hardcover: List Price: $60.45 $36.27 | You Save: 40%
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(1 Ratings)
This book is about Data Analytics. In that respect, it is like others. What distinguishes it from the rest is the variety of open-source tool applications. This book incorporates the use of R Studio,... More > Python, SAS Studio (University Edition), and KNIME. This book is also about manipulating Big Data. Apache Hadoop on Hortonworks Sandbox is introduced and we manage, move, handle, and transform data using Apache Hive, Apache Spark, MapReduce and TEZ, with terminal shell commands and Ambari. We show you how to set up a virtual machine in Microsoft Azure. We then use the data in later chapters for modeling. We cover Descriptive Modeling and Predictive. The content includes Support Vector Machines, Decision Tree learning, Random Forests, Naïve and Empirical Bayes, Gradient Boosting, Cluster Modeling, Generalized Linear Models, Logistic Regression, and Artificial Neural Networks. Every chapter includes completely worked examples using one or more open-source tools.< Less
GRE Analytical Writing: Solutions to the Real Essay Topics - Book 1 By Vibrant Publishers
Paperback: List Price: $19.95 $11.97 | You Save: 40%
Prints in 3-5 business days
The material in this book is intended to help you prepare for the Analytical Writing section of the revised GRE test. During the test, you will be asked to respond in writing to two different types... More > of prompts. One, Analyze an Issue, requires you to follow specific directions as you take a position on a statement, claim, or recommendation. The other, Analyze an Argument, requires you to follow specific instructions as you determine the strengths and/or weaknesses presented in an argument. Since you will have limited time to develop your responses, some preparation for the test will be helpful. The Analytical Writing Measure is just one part of the GRE, but, combined with your scores on the other parts of the test, helps to predict your ability to be successful in graduate school. This book contains thirty sample Analyze an Issue essays and thirty sample Analyze an Argument essays along with the rubrics, prompts and tips to use when writing your own essays.< Less

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