Modeling Techniques In Predictive Analytics With Python And R A Guide To Data Science

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Modeling Techniques in Predictive Analytics with Python and R A Guide to Data Science

Download Modeling Techniques In Predictive Analytics With Python And R Book or Ebook File with PDF Epub Audio and Full format File

Author by : Thomas W. Miller
Languange Used : English, France, Spanish, Italia and chinese
Page : 448
Isbn : 013389214X
Identifier : 9780133892147
Release : 2014-09-29
Publisher by : FT Press
Category : Computers
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Description : Read Now Modeling Techniques In Predictive Analytics With Python And R by Thomas W. Miller and you can download with pub, pdf, txt, doc, and more file format with free account. master predictive analytics, from start to finish start with strategy and management master methods and build models transform your models into highly-effective code—in both python and r this one-of-a-kind book will help you use predictive analytics, python, and r to solve real business problems and drive real competitive advantage. you’ll master predictive analytics through realistic case studies, intuitive data visualizations, and up-to-date code for both python and r—not complex math. step by step, you’ll walk through defining problems, identifying data, crafting and optimizing models, writing effective python and r code, interpreting results, and more. each chapter focuses on one of today’s key applications for predictive analytics, delivering skills and knowledge to put models to work—and maximize their value. thomas w. miller, leader of northwestern university’s pioneering program in predictive analytics, addresses everything you need to succeed: strategy and management, methods and models, and technology and code. if you’re new to predictive analytics, you’ll gain a strong foundation for achieving accurate, actionable results. if you’re already working in the field, you’ll master powerful new skills. if you’re familiar with either python or r, you’ll discover how these languages complement each other, enabling you to do even more. all data sets, extensive python and r code, and additional examples available for download at http://www.ftpress.com/miller/ python and r offer immense power in predictive analytics, data science, and big data. this book will help you leverage that power to solve real business problems, and drive real competitive advantage. thomas w. miller’s unique balanced approach combines business context and quantitative tools, illuminating each technique with carefully explained code for the latest versions of python and r. if you’re new to predictive analytics, miller gives you a strong foundation for achieving accurate, actionable results. if you’re already a modeler, programmer, or manager, you’ll learn crucial skills you don’t already have. using python and r, miller addresses multiple business challenges, including segmentation, brand positioning, product choice modeling, pricing research, finance, sports, text analytics, sentiment analysis, and social network analysis. he illuminates the use of cross-sectional data, time series, spatial, and spatio-temporal data. you’ll learn why each problem matters, what data are relevant, and how to explore the data you’ve identified. miller guides you through conceptually modeling each data set with words and figures; and then modeling it again with realistic code that delivers actionable insights. you’ll walk through model construction, explanatory variable subset selection, and validation, mastering best practices for improving out-of-sample predictive performance. miller employs data visualization and statistical graphics to help you explore data, present models, and evaluate performance. appendices include five complete case studies, and a detailed primer on modern data science methods. use python and r to gain powerful, actionable, profitable insights about: advertising and promotion consumer preference and choice market baskets and related purchases economic forecasting operations management unstructured text and language customer sentiment brand and price sports team performance and much more

Marketing Data Science Modeling Techniques in Predictive Analytics with R and Python

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Author by : Thomas W. Miller
Languange Used : English, France, Spanish, Italia and chinese
Page : 225
Isbn : 0133887340
Identifier : 9780133887341
Release : 2015-05-02
Publisher by : FT Press
Category : Business & Economics
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Description : Read Now Marketing Data Science by Thomas W. Miller and you can download with pub, pdf, txt, doc, and more file format with free account. now , a leader of northwestern university's prestigious analytics program presents a fully-integrated treatment of both the business and academic elements of marketing applications in predictive analytics. writing for both managers and students, thomas w. miller explains essential concepts, principles, and theory in the context of real-world applications. building on miller's pioneering program, marketing data science thoroughly addresses segmentation, target marketing, brand and product positioning, new product development, choice modeling, recommender systems, pricing research, retail site selection, demand estimation, sales forecasting, customer retention, and lifetime value analysis. starting where miller's widely-praised modeling techniques in predictive analytics left off, he integrates crucial information and insights that were previously segregated in texts on web analytics, network science, information technology, and programming. coverage includes: the role of analytics in delivering effective messages on the web understanding the web by understanding its hidden structures being recognized on the web – and watching your own competitors visualizing networks and understanding communities within them measuring sentiment and making recommendations leveraging key data science methods: databases/data preparation, classical/bayesian statistics, regression/classification, machine learning, and text analytics six complete case studies address exceptionally relevant issues such as: separating legitimate email from spam; identifying legally-relevant information for lawsuit discovery; gleaning insights from anonymous web surfing data, and more. this text's extensive set of web and network problems draw on rich public-domain data sources; many are accompanied by solutions in python and/or r. marketing data science will be an invaluable resource for all students, faculty, and professional marketers who want to use business analytics to improve marketing performance.

Sports Analytics and Data Science Winning the Game with Methods and Models

Download Sports Analytics And Data Science Book or Ebook File with PDF Epub Audio and Full format File

Author by : Thomas Miller
Languange Used : English, France, Spanish, Italia and chinese
Page : 352
Isbn : 9780133886436
Identifier : 0133886433
Release : 2015-10-15
Publisher by : Pearson FT Press
Category : Business & Economics
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Description : Read Now Sports Analytics And Data Science by Thomas Miller and you can download with pub, pdf, txt, doc, and more file format with free account. this is a complete, practical guide to sports data science and modeling, with examples from sports industry economics, marketing, management, performance measurement, and competitive analysis. thomas w. miller, faculty director of northwestern university's pioneering predictive analytics program, shows how to use advanced measures of individual and team performance to judge the competitive position of both individual athletes and teams, and to make more accurate predictions about their future performance. miller's modeling techniques draw on methods from economics, accounting, finance, classical and bayesian statistics, machine learning, simulation, and mathematical programming. miller illustrates them through realistic case studies, with fully worked examples in both python and r. sports analytics and data science will be an invaluable resource for everyone who wants to seriously investigate and more accurately predict athletic performance, including students, teachers, sports analysts, sports fans, physiologists, coaches, and managers of sports teams. it will also be valuable to all students of analytics who want to build their skills through familiar and accessible sports applications.

Modeling Techniques in Predictive Analytics Business Problems and Solutions with R, Revised and Expanded Edition

Download Modeling Techniques In Predictive Analytics Book or Ebook File with PDF Epub Audio and Full format File

Author by : Thomas W. Miller
Languange Used : English, France, Spanish, Italia and chinese
Page : 384
Isbn : 0133886190
Identifier : 9780133886191
Release : 2014-09-29
Publisher by : FT Press
Category : Computers
Ads
Description : Read Now Modeling Techniques In Predictive Analytics by Thomas W. Miller and you can download with pub, pdf, txt, doc, and more file format with free account. to succeed with predictive analytics, you must understand it on three levels: strategy and management methods and models technology and code this up-to-the-minute reference thoroughly covers all three categories. now fully updated, this uniquely accessible book will help you use predictive analytics to solve real business problems and drive real competitive advantage. if you’re new to the discipline, it will give you the strong foundation you need to get accurate, actionable results. if you’re already a modeler, programmer, or manager, it will teach you crucial skills you don’t yet have. unlike competitive books, this guide illuminates the discipline through realistic vignettes and intuitive data visualizations–not complex math. thomas w. miller, leader of northwestern university’s pioneering program in predictive analytics, guides you through defining problems, identifying data, crafting and optimizing models, writing effective r code, interpreting results, and more. every chapter focuses on one of today’s key applications for predictive analytics, delivering skills and knowledge to put models to work–and maximize their value. reflecting extensive student and instructor feedback, this edition adds five classroom-tested case studies, updates all code for new versions of r, explains code behavior more clearly and completely, and covers modern data science methods even more effectively. all data sets, extensive r code, and additional examples available for download at http://www.ftpress.com/miller if you want to make the most of predictive analytics, data science, and big data, this is the book for you. thomas w. miller’s unique balanced approach combines business context and quantitative tools, appealing to managers, analysts, programmers, and students alike. miller addresses multiple business cases and challenges, including segmentation, brand positioning, product choice modeling, pricing research, finance, sports, text analytics, sentiment analysis, and social network analysis. he illuminates the use of cross-sectional data, time series, spatial, and spatio-temporal data. you’ll learn why each problem matters, what data are relevant, and how to explore the data you’ve identified. miller guides you through conceptually modeling each data set with words and figures; and then modeling it again with realistic r programs that deliver actionable insights. you’ll walk through model construction, explanatory variable subset selection, and validation, mastering best practices for improving out-of-sample predictive performance. throughout, miller employs data visualization and statistical graphics to help you explore data, present models, and evaluate performance. this edition adds five new case studies, updates all code for the newest versions of r, adds more commenting to clarify how the code works, and offers a more detailed and up-to-date primer on data science methods. gain powerful, actionable, profitable insights about: advertising and promotion consumer preference and choice market baskets and related purchases economic forecasting operations management unstructured text and language customer sentiment brand and price sports team performance and much more

Learning Predictive Analytics with Python

Download Learning Predictive Analytics With Python Book or Ebook File with PDF Epub Audio and Full format File

Author by : Ashish Kumar
Languange Used : English, France, Spanish, Italia and chinese
Page : 354
Isbn : 1783983272
Identifier : 9781783983278
Release : 2016-02-15
Publisher by : Packt Publishing Ltd
Category : Computers
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Description : Read Now Learning Predictive Analytics With Python by Ashish Kumar and you can download with pub, pdf, txt, doc, and more file format with free account. gain practical insights into predictive modelling by implementing predictive analytics algorithms on public datasets with python about this book a step-by-step guide to predictive modeling including lots of tips, tricks, and best practices get to grips with the basics of predictive analytics with python learn how to use the popular predictive modeling algorithms such as linear regression, decision trees, logistic regression, and clustering who this book is for if you wish to learn how to implement predictive analytics algorithms using python libraries, then this is the book for you. if you are familiar with coding in python (or some other programming/statistical/scripting language) but have never used or read about predictive analytics algorithms, this book will also help you. the book will be beneficial to and can be read by any data science enthusiasts. some familiarity with python will be useful to get the most out of this book, but it is certainly not a prerequisite. what you will learn understand the statistical and mathematical concepts behind predictive analytics algorithms and implement predictive analytics algorithms using python libraries analyze the result parameters arising from the implementation of predictive analytics algorithms write python modules/functions from scratch to execute segments or the whole of these algorithms recognize and mitigate various contingencies and issues related to the implementation of predictive analytics algorithms get to know various methods of importing, cleaning, sub-setting, merging, joining, concatenating, exploring, grouping, and plotting data with pandas and numpy create dummy datasets and simple mathematical simulations using the python numpy and pandas libraries understand the best practices while handling datasets in python and creating predictive models out of them in detail social media and the internet of things have resulted in an avalanche of data. data is powerful but not in its raw form - it needs to be processed and modeled, and python is one of the most robust tools out there to do so. it has an array of packages for predictive modeling and a suite of ides to choose from. learning to predict who would win, lose, buy, lie, or die with python is an indispensable skill set to have in this data age. this book is your guide to getting started with predictive analytics using python. you will see how to process data and make predictive models from it. we balance both statistical and mathematical concepts, and implement them in python using libraries such as pandas, scikit-learn, and numpy. you'll start by getting an understanding of the basics of predictive modeling, then you will see how to cleanse your data of impurities and get it ready it for predictive modeling. you will also learn more about the best predictive modeling algorithms such as linear regression, decision trees, and logistic regression. finally, you will see the best practices in predictive modeling, as well as the different applications of predictive modeling in the modern world. style and approach all the concepts in this book been explained and illustrated using a dataset, and in a step-by-step manner. the python code snippet to implement a method or concept is followed by the output, such as charts, dataset heads, pictures, and so on. the statistical concepts are explained in detail wherever required.

Web and Network Data Science Modeling Techniques in Predictive Analytics

Download Web And Network Data Science Book or Ebook File with PDF Epub Audio and Full format File

Author by : Thomas W. Miller
Languange Used : English, France, Spanish, Italia and chinese
Page : 384
Isbn : 0133887642
Identifier : 9780133887648
Release : 2014-12-19
Publisher by : FT Press
Category : Computers
Ads
Description : Read Now Web And Network Data Science by Thomas W. Miller and you can download with pub, pdf, txt, doc, and more file format with free account. master modern web and network data modeling: both theory and applications. in web and network data science, a top faculty member of northwestern university’s prestigious analytics program presents the first fully-integrated treatment of both the business and academic elements of web and network modeling for predictive analytics. some books in this field focus either entirely on business issues (e.g., google analytics and seo); others are strictly academic (covering topics such as sociology, complexity theory, ecology, applied physics, and economics). this text gives today's managers and students what they really need: integrated coverage of concepts, principles, and theory in the context of real-world applications. building on his pioneering web analytics course at northwestern university, thomas w. miller covers usability testing, web site performance, usage analysis, social media platforms, search engine optimization (seo), and many other topics. he balances this practical coverage with accessible and up-to-date introductions to both social network analysis and network science, demonstrating how these disciplines can be used to solve real business problems.

Hands-On Predictive Analytics with Python Master the complete predictive analytics process, from problem definition to model deployment

Download Hands On Predictive Analytics With Python Book or Ebook File with PDF Epub Audio and Full format File

Author by : Alvaro Fuentes
Languange Used : English, France, Spanish, Italia and chinese
Page : 330
Isbn : 1789134544
Identifier : 9781789134544
Release : 2018-12-28
Publisher by : Packt Publishing Ltd
Category : Computers
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Description : Read Now Hands On Predictive Analytics With Python by Alvaro Fuentes and you can download with pub, pdf, txt, doc, and more file format with free account. step-by-step guide to build high performing predictive applications key features use the python data analytics ecosystem to implement end-to-end predictive analytics projects explore advanced predictive modeling algorithms with an emphasis on theory with intuitive explanations learn to deploy a predictive model's results as an interactive application book description predictive analytics is an applied field that employs a variety of quantitative methods using data to make predictions. it involves much more than just throwing data onto a computer to build a model. this book provides practical coverage to help you understand the most important concepts of predictive analytics. using practical, step-by-step examples, we build predictive analytics solutions while using cutting-edge python tools and packages. the book's step-by-step approach starts by defining the problem and moves on to identifying relevant data. we will also be performing data preparation, exploring and visualizing relationships, building models, tuning, evaluating, and deploying model. each stage has relevant practical examples and efficient python code. you will work with models such as knn, random forests, and neural networks using the most important libraries in python's data science stack: numpy, pandas, matplotlib, seaborn, keras, dash, and so on. in addition to hands-on code examples, you will find intuitive explanations of the inner workings of the main techniques and algorithms used in predictive analytics. by the end of this book, you will be all set to build high-performance predictive analytics solutions using python programming. what you will learn get to grips with the main concepts and principles of predictive analytics learn about the stages involved in producing complete predictive analytics solutions understand how to define a problem, propose a solution, and prepare a dataset use visualizations to explore relationships and gain insights into the dataset learn to build regression and classification models using scikit-learn use keras to build powerful neural network models that produce accurate predictions learn to serve a model's predictions as a web application who this book is for this book is for data analysts, data scientists, data engineers, and python developers who want to learn about predictive modeling and would like to implement predictive analytics solutions using python's data stack. people from other backgrounds who would like to enter this exciting field will greatly benefit from reading this book. all you need is to be proficient in python programming and have a basic understanding of statistics and college-level algebra.

Marketing Data Science Modeling Techniques in Predictive Analytics with R and Python

Download Marketing Data Science Book or Ebook File with PDF Epub Audio and Full format File

Author by : Thomas W. Miller
Languange Used : English, France, Spanish, Italia and chinese
Page : 225
Isbn : 0133887340
Identifier : 9780133887341
Release : 2015-05-02
Publisher by : FT Press
Category : Business & Economics
Ads
Description : Read Now Marketing Data Science by Thomas W. Miller and you can download with pub, pdf, txt, doc, and more file format with free account. now , a leader of northwestern university's prestigious analytics program presents a fully-integrated treatment of both the business and academic elements of marketing applications in predictive analytics. writing for both managers and students, thomas w. miller explains essential concepts, principles, and theory in the context of real-world applications. building on miller's pioneering program, marketing data science thoroughly addresses segmentation, target marketing, brand and product positioning, new product development, choice modeling, recommender systems, pricing research, retail site selection, demand estimation, sales forecasting, customer retention, and lifetime value analysis. starting where miller's widely-praised modeling techniques in predictive analytics left off, he integrates crucial information and insights that were previously segregated in texts on web analytics, network science, information technology, and programming. coverage includes: the role of analytics in delivering effective messages on the web understanding the web by understanding its hidden structures being recognized on the web – and watching your own competitors visualizing networks and understanding communities within them measuring sentiment and making recommendations leveraging key data science methods: databases/data preparation, classical/bayesian statistics, regression/classification, machine learning, and text analytics six complete case studies address exceptionally relevant issues such as: separating legitimate email from spam; identifying legally-relevant information for lawsuit discovery; gleaning insights from anonymous web surfing data, and more. this text's extensive set of web and network problems draw on rich public-domain data sources; many are accompanied by solutions in python and/or r. marketing data science will be an invaluable resource for all students, faculty, and professional marketers who want to use business analytics to improve marketing performance.

Applied Predictive Modeling

Download Applied Predictive Modeling Book or Ebook File with PDF Epub Audio and Full format File

Author by : Max Kuhn
Languange Used : English, France, Spanish, Italia and chinese
Page : 600
Isbn : 1461468493
Identifier : 9781461468493
Release : 2013-05-17
Publisher by : Springer Science & Business Media
Category : Medical
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Description : Read Now Applied Predictive Modeling by Max Kuhn and you can download with pub, pdf, txt, doc, and more file format with free account. applied predictive modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. the text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. the text illustrates all parts of the modeling process through many hands-on, real-life examples, and every chapter contains extensive r code for each step of the process. this multi-purpose text can be used as an introduction to predictive models and the overall modeling process, a practitioner’s reference handbook, or as a text for advanced undergraduate or graduate level predictive modeling courses. to that end, each chapter contains problem sets to help solidify the covered concepts and uses data available in the book’s r package. this text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. while the text is biased against complex equations, a mathematical background is needed for advanced topics.

Modeling Techniques in Predictive Analytics Business Problems and Solutions with R, Revised and Expanded Edition

Download Modeling Techniques In Predictive Analytics Book or Ebook File with PDF Epub Audio and Full format File

Author by : Thomas W. Miller
Languange Used : English, France, Spanish, Italia and chinese
Page : 384
Isbn : 0133886190
Identifier : 9780133886191
Release : 2014-09-29
Publisher by : FT Press
Category : Computers
Ads
Description : Read Now Modeling Techniques In Predictive Analytics by Thomas W. Miller and you can download with pub, pdf, txt, doc, and more file format with free account. to succeed with predictive analytics, you must understand it on three levels: strategy and management methods and models technology and code this up-to-the-minute reference thoroughly covers all three categories. now fully updated, this uniquely accessible book will help you use predictive analytics to solve real business problems and drive real competitive advantage. if you’re new to the discipline, it will give you the strong foundation you need to get accurate, actionable results. if you’re already a modeler, programmer, or manager, it will teach you crucial skills you don’t yet have. unlike competitive books, this guide illuminates the discipline through realistic vignettes and intuitive data visualizations–not complex math. thomas w. miller, leader of northwestern university’s pioneering program in predictive analytics, guides you through defining problems, identifying data, crafting and optimizing models, writing effective r code, interpreting results, and more. every chapter focuses on one of today’s key applications for predictive analytics, delivering skills and knowledge to put models to work–and maximize their value. reflecting extensive student and instructor feedback, this edition adds five classroom-tested case studies, updates all code for new versions of r, explains code behavior more clearly and completely, and covers modern data science methods even more effectively. all data sets, extensive r code, and additional examples available for download at http://www.ftpress.com/miller if you want to make the most of predictive analytics, data science, and big data, this is the book for you. thomas w. miller’s unique balanced approach combines business context and quantitative tools, appealing to managers, analysts, programmers, and students alike. miller addresses multiple business cases and challenges, including segmentation, brand positioning, product choice modeling, pricing research, finance, sports, text analytics, sentiment analysis, and social network analysis. he illuminates the use of cross-sectional data, time series, spatial, and spatio-temporal data. you’ll learn why each problem matters, what data are relevant, and how to explore the data you’ve identified. miller guides you through conceptually modeling each data set with words and figures; and then modeling it again with realistic r programs that deliver actionable insights. you’ll walk through model construction, explanatory variable subset selection, and validation, mastering best practices for improving out-of-sample predictive performance. throughout, miller employs data visualization and statistical graphics to help you explore data, present models, and evaluate performance. this edition adds five new case studies, updates all code for the newest versions of r, adds more commenting to clarify how the code works, and offers a more detailed and up-to-date primer on data science methods. gain powerful, actionable, profitable insights about: advertising and promotion consumer preference and choice market baskets and related purchases economic forecasting operations management unstructured text and language customer sentiment brand and price sports team performance and much more

Web and Network Data Science Modeling Techniques in Predictive Analytics

Download Web And Network Data Science Book or Ebook File with PDF Epub Audio and Full format File

Author by : Thomas W. Miller
Languange Used : English, France, Spanish, Italia and chinese
Page : 384
Isbn : 0133887642
Identifier : 9780133887648
Release : 2014-12-19
Publisher by : FT Press
Category : Computers
Ads
Description : Read Now Web And Network Data Science by Thomas W. Miller and you can download with pub, pdf, txt, doc, and more file format with free account. master modern web and network data modeling: both theory and applications. in web and network data science, a top faculty member of northwestern university’s prestigious analytics program presents the first fully-integrated treatment of both the business and academic elements of web and network modeling for predictive analytics. some books in this field focus either entirely on business issues (e.g., google analytics and seo); others are strictly academic (covering topics such as sociology, complexity theory, ecology, applied physics, and economics). this text gives today's managers and students what they really need: integrated coverage of concepts, principles, and theory in the context of real-world applications. building on his pioneering web analytics course at northwestern university, thomas w. miller covers usability testing, web site performance, usage analysis, social media platforms, search engine optimization (seo), and many other topics. he balances this practical coverage with accessible and up-to-date introductions to both social network analysis and network science, demonstrating how these disciplines can be used to solve real business problems.

Learn By Examples - A Quick Guide to Java Programming for Text Mining and NLP

Download Learn By Examples A Quick Guide To Java Programming For Text Mining And Nlp Book or Ebook File with PDF Epub Audio and Full format File

Author by : Eric M. H. Goh
Languange Used : English, France, Spanish, Italia and chinese
Page : 119
Isbn : 163535546X
Identifier : 9781635355468
Release : 2018-06-15
Publisher by : SVBook
Category :
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Description : Read Now Learn By Examples A Quick Guide To Java Programming For Text Mining And Nlp by Eric M. H. Goh and you can download with pub, pdf, txt, doc, and more file format with free account. this book aim to equip the reader with java programming, text mining and natural language processing basics. there will be many examples and explanations that are lucid and straight to the point. you will be walked through various projects and develop your own text mining application. this book will show you how to use stanford nlp libraries also. asides, we have also uploaded some of our own softwares at: http://dstk.tech content covered: introductiongetting started (installing ide, ...)language essentials i (variables, data types, ...)language essentials ii (loops, if... else..., methods)object essentials (classes, inheritance, polymorphism, encapsulation, ...)text mining essentials (import text files, text transformation (lowercase, stopwords), text understanding (stanford nlp), text classification (stanford classifier) )isbn: 978-1-63535-546-8