Text Mining in Practice with R

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Text Mining: Applications and Theory presents the state-of-the-art algorithms for text mining from both the academic and industrial perspectives. The contributors span several countries and scientific domains: universities, industrial corporations, and government laboratories, and demonstrate the use of techniques from machine learning, knowledge discovery, natural language processing and information retrieval to design computational models for automated text analysis and mining. This volume demonstrates how advancements in the fields of applied mathematics, computer science, machine learning, and natural language processing can collectively capture, classify, and interpret words and their contexts. As suggested in the preface, text mining is needed when “words are not enough.” This book: Provides state-of-the-art algorithms and techniques for critical tasks in text mining applications, such as clustering, classification, anomaly and trend detection, and stream analysis. Presents a survey of text visualization techniques and looks at the multilingual text classification problem. Discusses the issue of cybercrime associated with chatrooms. Features advances in visual analytics and machine learning along with illustrative examples. Is accompanied by a supporting website featuring datasets. Applied mathematicians, statisticians, practitioners and students in computer science, bioinformatics and engineering will find this book extremely useful.

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Sports Analytics in Practice with R

Sports Analytics in Practice with R A practical guide for those looking to employ the latest and leading analytical software in sport In the last twenty years, sports organizations have become a data-driven business. Before this, most decisions in sports were qualitatively driven by subject-matter experts. In the years since numerous teams found success with “Money Ball” analytical perspectives, the industry has sought to advance its analytical acumen to improve on- and off-field outcomes. The increasing demand for data to inform decisions for coaches, scouts, and players before and during sporting events has led to intriguing efforts to build upon this quantitative approach. As this methodology for assessing performance has matured and grown in importance, so too has the open-source R software emerged as one of the leading analytical software packages. In fact, R is a top 10 programming language that is useful in academia and industry for statistics, machine learning, and rapid prototyping. Sports Analytics in Practice with R neatly marries these two advances to teach basic analytics for sports-related use—from cricket to baseball, from basketball to tennis, from soccer to sports gambling, and more. Sports Analytics in Practice with R readers will also find: A broad perspective of sports, focusing on a wide range of sports rather than just one The first book of its kind that features coding examples Case study approach throughout the book Companion website including data sets to work through alongside the explanations Sports Analytics in Practice with R is a helpful tool for students and professionals in the sports management field, but also for sports enthusiasts who have a coding background.

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Sports Analytics in Practice with R

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Coaching with the Brain in Mind. Foundations for Practice

Coaching Brain in Mind Foundations for Practice David Rock and Linda J. Page, PhD Discover the science behind brain-based coaching By understanding how the brain works, coaching professionals can better tailor their language, strategies, and goals to be in alignment with an individual's «hard-wired» way of thinking. Written by two well-known coaching professionals, David Rock and Linda Page, Coaching with the Brain in Mind presents the tools and methodologies that can be employed by novice and experienced coaches alike to create an effective—and ultimately more rewarding—relationship for both coach and client. This informative guide to the neuroscience of coaching clearly demonstrates how brain-based coaching works in practice, and how the power of the mind can be harnessed to help an individual learn and grow. Illustrated with numerous case examples and stories, this book is organized for immediate use by professionals in their client work. Coverage includes: A succinct but comprehensive overview of the major scientific and theoretical foundations for coaching and their implications for practice How the language of coaching—setting goals, making connections, becoming more aware, seeking breakthroughs, and taking action—parallels what neuroscientists tell us about how the brain operates Neuroscience as a natural platform for the ongoing development of coaching Building on the existing foundation of coaching by adding neuroscience as an evidence base for the profession, Coaching with the Brain in Mind shows that it is possible to become a better professional coach by understanding how the brain works. As well, the authors, through their research, present that an understanding of neuroscience research, however new and speculative, can help coaches and leaders fulfill their potential as change agents in the lives of others.

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MRI in Practice

MRI in Practice continues to be the number one reference book and study guide for the registry review examination for MRI offered by the American Registry for Radiologic Technologists (ARRT). This latest edition offers in-depth chapters covering all core areas, including: basic principles, image weighting and contrast, spin and gradient echo pulse sequences, spatial encoding, k-space, protocol optimization, artefacts, instrumentation, and MRI safety. The leading MRI reference book and study guide. Now with a greater focus on the physics behind MRI. Offers, for the first time, equations and their explanations and scan tips. Brand new chapters on MRI equipment, vascular imaging and safety. Presented in full color, with additional illustrations and high-quality MRI images to aid understanding. Includes refined, updated and expanded content throughout, along with more learning tips and practical applications. Features a new glossary. MRI in Practice is an important text for radiographers, technologists, radiology residents, radiologists, and other students and professionals working within imaging, including medical physicists and nurses.

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Strategy in Practice

A practitioner-focused approach to strategy and real-world strategic thinking This 3rd edition has been revised and updated throughout to reflect the current thinking in strategy in view of the current economic and business climate. It questions how we are thinking differently about strategy now, in light of emerging from the global economic crisis. It includes new and updated case illustrations throughout, plus a new chapter on Strategy Execution and Performance Appraisal. Rigorously founded on current thinking and theoretical concepts in the field of strategic management, Strategy in Practice: Provides the strategy practitioner with a systematic and insight-driven approach to strategic thinking Establishes and translates the relevance of strategy theory to its application in the practice field Leads you through the strategic thinking process, beginning with the formulation of compelling and clearly articulated strategic questions that set the scene for practical issues Provides tools of strategic analysis in combination with informed intuition to understand the strategic landscape Has additional online resources available for instructors

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RTI in Practice

A must-have resource for educational professionals implementing Response to Intervention (RTI) programs in their schools RTI in Practice: A Practical Guide to Implementing Effective Evidence-Based Interventions in Your School is an innovative and timely guide that presents concrete, balanced perspectives and directions for implementing an effective RTI model in your school. Built upon the three tiers of effective general education and universal screening, targeted interventions, and intensive interventions, this authoritative resource addresses: Effective academic programs for all students How to use data to make decisions in general education Guidelines for setting goals, monitoring progress, and graphing intervention outcomes Multicultural considerations Realistic case scenarios appear throughout to bring the implementation strategies to life, and the book is packaged with a CD-ROM containing numerous reproducible and customizable forms, surveys, and screening tools, as well as an annotated list of resources for charting and monitoring individual student and classroom progress. RTI in Practice: A Practical Guide to Implementing Effective Evidence-Based Interventions in Your School is a complete resource providing educators and school professionals with the tips?and tools needed for successful RTI program implementation.

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A Course in Statistics with R

Integrates the theory and applications of statistics using R A Course in Statistics with R has been written to bridge the gap between theory and applications and explain how mathematical expressions are converted into R programs. The book has been primarily designed as a useful companion for a Masters student during each semester of the course, but will also help applied statisticians in revisiting the underpinnings of the subject. With this dual goal in mind, the book begins with R basics and quickly covers visualization and exploratory analysis. Probability and statistical inference, inclusive of classical, nonparametric, and Bayesian schools, is developed with definitions, motivations, mathematical expression and R programs in a way which will help the reader to understand the mathematical development as well as R implementation. Linear regression models, experimental designs, multivariate analysis, and categorical data analysis are treated in a way which makes effective use of visualization techniques and the related statistical techniques underlying them through practical applications, and hence helps the reader to achieve a clear understanding of the associated statistical models. Key features: Integrates R basics with statistical concepts Provides graphical presentations inclusive of mathematical expressions Aids understanding of limit theorems of probability with and without the simulation approach Presents detailed algorithmic development of statistical models from scratch Includes practical applications with over 50 data sets

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Ensemble Classification Methods with Applications in R

An essential guide to two burgeoning topics in machine learning – classification trees and ensemble learning Ensemble Classification Methods with Applications in R introduces the concepts and principles of ensemble classifiers methods and includes a review of the most commonly used techniques. This important resource shows how ensemble classification has become an extension of the individual classifiers. The text puts the emphasis on two areas of machine learning: classification trees and ensemble learning. The authors explore ensemble classification methods’ basic characteristics and explain the types of problems that can emerge in its application. Written by a team of noted experts in the field, the text is divided into two main sections. The first section outlines the theoretical underpinnings of the topic and the second section is designed to include examples of practical applications. The book contains a wealth of illustrative cases of business failure prediction, zoology, ecology and others. This vital guide: Offers an important text that has been tested both in the classroom and at tutorials at conferences Contains authoritative information written by leading experts in the field Presents a comprehensive text that can be applied to courses in machine learning, data mining and artificial intelligence Combines in one volume two of the most intriguing topics in machine learning: ensemble learning and classification trees Written for researchers from many fields such as biostatistics, economics, environment, zoology, as well as students of data mining and machine learning, Ensemble Classification Methods with Applications in R puts the focus on two topics in machine learning: classification trees and ensemble learning.

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Data Mining with Microsoft SQL Server 2008

Understand how to use the new features of Microsoft SQL Server 2008 for data mining by using the tools in Data Mining with Microsoft SQL Server 2008, which will show you how to use the SQL Server Data Mining Toolset with Office 2007 to mine and analyze data. Explore each of the major data mining algorithms, including naive bayes, decision trees, time series, clustering, association rules, and neural networks. Learn more about topics like mining OLAP databases, data mining with SQL Server Integration Services 2008, and using Microsoft data mining to solve business analysis problems.

Цена 4851 руб.

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Цвета для малышей

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Оздоровительные технологии физического воспитания детей младшего школьного возраста. Учебное пособие

Учебное пособие посвящено вопросам организации физического воспитания детей младшего школьного возраста. В нем показаны особенности программного обеспечения физического воспитания в России и за рубежом, рассмотрены программы физического воспитания детей, отнесенных к специальной медицинской группе, а также изложена теоретико-методологическая концепция оздоровительного физического воспитания учащихся младших классов общеобразовательных школ.

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Инновационные предприятия в вузах: вопросы интеграции с реальным сектором экономики 2-е изд., испр.

В книге изложены вопросы востребованности научной продукции, разрабатываемой образовательными учреждениями. В ней показано становление малых инновационных предприятий университетов, результативность взаимодействия вузов, НИИ и производственных компаний в сфере науки и инноваций, а также дан прогноз в сфере интеграции вузовской науки и инноваций высокотехнологичных компаний. . .

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