introduction to multimodal analysis david machin per ledin

Introduction to Multimodal Analysis - David Machin, Per Ledin

Introduction to Multimodal Analysis is a unique and accessible textbook that critically explains this ground-breaking approach to visual analysis. Now thoroughly revised and updated, the second edition reflects the most recent developments in theory and shifts in communication, outlining the tools for analysis and providing a clear model that students can follow. Chapters on colour, typography, framing and composition contain fresh, contemporary examples, ranging from product packaging and website layouts to film adverts and public spaces, showing how design elements make up a visual language that is used to communicate with the viewer. The book also includes two new chapters on texture and diagrams, as well as a helpful image index so students can clearly understand how images and multimodal texts can be analysed from different perspectives.Featuring chapter summaries, student activities and a companion website hosting all images in full colour, this new edition remains an essential guide for students studying multimodality within visual communication in linguistics, media and cultural studies, critical discourse analysis or journalism studies.

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A Contemporary Introduction to the Bible - David M. Carr, Colleen M. Conway

Explore a timely introduction to the formation of the Bible in its historical and modern contexts In the newly revised Second Edition of A Contemporary Introduction to the Bible: Sacred Texts and Imperial Contexts, accomplished scholars and authors Colleen M. Conway and David M. Carr deliver a rigorous, accessible, and up-to-date introduction to the Bible. The textbook places the Hebrew Bible/Old Testament and New Testament in the broader context of world history, with a special focus on the empires that influenced the Bible’s formation. Readers are introduced to the academic study of the Bible through a range of scholarly approaches. Readers benefit from the inclusion of: A thorough introduction to the Bible in its ancient contexts, from the emergence of Israel’s earliest traditions to the writing and reshaping of the Bible amidst Assyrian Babylonian, Persian, Hellenistic and Roman empires. The most up-to-date work in the field, seamlessly integrated into every chapter A wealth of pedagogical features including study questions, bibliographies, timelines, and illustrations An unparalleled coverage of both fundamental topics and cutting-edge issues, resulting in a truly outstanding textbook. Perfect for undergraduate and graduate students studying religion, history, sociology, and philosophy, A Contemporary Introduction to the Bible: Sacred Texts and ... Unknown localization key: "more"

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A Concise Introduction to Functional Analysis - Cesar R. de Oliveira

A Concise Introduction to Functional Analysis is designed to serve a one-semester introductory graduate (or advanced undergraduate) course in functional analysis.

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An Introduction to Nonlinear Analysis and Fixed Point Theory - Hemant Kumar Pathak

This book systematically introduces the theory of nonlinear analysis, providing an overview of topics such as geometry of Banach spaces, differential calculus in Banach spaces, monotone operators, and fixed point theorems. It also discusses degree theory, nonlinear matrix equations, control theory, differential and integral equations, and inclusions. The book presents surjectivity theorems, variational inequalities, stochastic game theory and mathematical biology, along with a large number of applications of these theories in various other disciplines. Nonlinear analysis is characterised by its applications in numerous interdisciplinary fields, ranging from engineering to space science, hydromechanics to astrophysics, chemistry to biology, theoretical mechanics to biomechanics and economics to stochastic game theory. Organised into ten chapters, the book shows the elegance of the subject and its deep-rooted concepts and techniques, which provide the tools for developing more realistic and accurate models for a variety of phenomena encountered in diverse applied fields. It is intended for graduate and undergraduate students of mathematics and engineering who are familiar with discrete mathematical structures, differential and integral equations, operator theory, measure theory, Banach and Hilbert spaces, locally convex topological vector spaces, and linear functional analysis.

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Introduction to Quantitative Analysis for International Educators - Melissa Whatley

?This textbook introduces international education scholars, professionals and graduate students to quantitative research methods. It provides them with the most foundational and useful concepts in quantitative analysis, using international education themes for all examples and practice problems. Readers will have a foundation to pursue more advanced methods and analyses, whether through formal training or future individual study.The book assumes no prior knowledge of quantitative analysis and is written for individuals who are new to statistics. Practice problems are found at the end of all substantive chapters, and datasets are provided so that readers can practice the analyses that are presented. Moreover, in each chapter, different statistical approaches are illustrated with real examples from international education research. These examples provide context for each statistical method and represent a wide variety of contexts in international education research, covering a variety of international education topics and a variety of regions of the world. From the instructor perspective, these example studies could be used as additional course reading. Moreover, supplemental material provides slides that instructors can modify and use in conjunction with the text.

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Policy Analysis - Aidan R. Vining, David L. Weimer

Often described as a public policy “bible,” Weimer and Vining remains the essential primer it ever was. Now in a thoroughly revised seventh edition, Policy Analysis provides a strong conceptual foundation of the rationales for and the limitations to public policy. It offers practical advice about how to do policy analysis, and goes a bit deeper to demonstrate the application of advanced analytical techniques through the use of case studies. Updates to this edition include:An all-new introductory case on corporate taxationConsideration of addiction as a rationale for public policyDiscussion of public policy issues related to platforms and intermediation, especially to digital service deliveryUpdated discussion of information gathering from the perspectives of internal and external validityAn updated British Columbia salmon fishery caseThe textbook is supported by online materials for instructors, including suggestions for and examples of course policy projects, a project assessment template, sample instructions to students for preparing policy reports, as well as discussion questions and answers for each chapter. Cases that have been removed in the seventh edition remain available on the book’s webpage. Policy Analysis: Concepts and Practices remains a comprehensive, serious, and rich introduction to policy analysis for students in public policy, public administration, and business programs.

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Introduction to Schenkerian Analysis - Allen Forte, Steven Gilbert

This book is intended to serve as a basic textbook on Schenkerian analysis, the analytical approach developed over a period of many years by the Austrian music theorist Heinrich Schenker (1868-1935).

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Curvature of Space and Time, with an Introduction to Geometric Analysis - Iva Stavrov

Introduces advanced undergraduates to Riemannian geometry and mathematical general relativity. The overall strategy of the book is to explain the concept of curvature via the Jacobi equation which, through discussion of tidal forces, further helps motivate the Einstein field equations.

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Quality Management for Organizational Excellence: Introduction to Total Quality - David Goetsch, Stanley Davis

For all courses in quality management, quality engineering, quality technology, and continuous process improvement, in universities, colleges, community colleges, and corporate environments. This practical, student-focused text shows how to focus all of an organization’s resources on continuous and simultaneous improvement of quality and productivity – thereby continually improving both performance and competitiveness. It coherently addresses all elements of quality management, including Lean, Six Sigma, Lean Six Sigma, and many topics that competitive books overlook (e.g., peak performance, partnering, manufacturing networks, culture, and crucial “people” aspects of quality). Direct and straightforward, it links “big picture” theories and principles to detailed real-world strategies and techniques. Throughout, critical thinking activities, discussion assignments, and research links promote deeper thinking and further exploration. This edition adds all-new cases, plus new information on topics ranging from supervision to certification, QFD and SPC to benchmarking and JIT.

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Schaum's Outline of Basic Circuit Analysis, Second Edition - John O'Malley

The ideal review for your basic circuit analysis courseMore than 40 million students have trusted Schaum’s Outlines for their expert knowledge and helpful solved problems. Written by renowned experts in their respective fields, Schaum’s Outlines cover everything from math to science, nursing to language. The main feature for all these books is the solved problems. Step-by-step, authors walk readers through coming up with solutions to exercises in their topic of choice. 700 solved problemsOutline format supplies a concise guide to the standard college course in basic circuitsClear, concise explanations of all electric circuits conceptsAppropriate for the following courses: Basic Circuit Analysis, Electrical Circuits, Electrical Engineering Circuit Analysis, Introduction to Circuit Analysis, AC & DC Circuits Supports and supplements the bestselling textbooks in circuitsEasily understood review of basic circuit analysisSupports all the major textbooks for basic circuit analysis courses

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My Sewing Machine Book - Jane Bullová

A fresh and fun introduction to sewing on a machine for kids, this guide is perfect for budding little crafters. From threading up, to filling a bobbin, award winning author Jane Bull uses clear step-by-step instructions and photos to walk you through everything you need to know to get to grips with your machine. My Sewing Machine Book is packed with easy sewing projects, templates, and patterns to try, and your newly learned skills can then be put to the test with 20 creative and original projects to make - from bags and accessories, to colourful cushions and fabric toys.

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Multivariate Data Analysis - Barry Babin, Joseph Hair, William ) Black, Rolph Anderson

For over 30 years, this text has provided students with the information they need to understand and apply multivariate data analysis. The eighth edition of Multivariate Data Analysis provides an updated perspective on the analysis of all types of data as well as introducing some new perspectives and techniques that are foundational in today’s world of analytics. Multivariate Data Analysis serves as the perfect companion for graduate and postgraduate students undertaking statistical analysis for business degrees, providing an application-oriented introduction to multivariate analysis for the non-statistician. By reducing heavy statistical research into fundamental concepts, the text explains to students how to understand and make use of the results of specific statistical techniques.

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Five Ways of Doing Qualitative Analysis - Kathy Charmaz, Emalinda McSpadden, Rosemarie Anderson, Linda M. McMullen, Frederick J. Wertz

This unique text provides a broad introduction to qualitative analysis together with concrete demonstrations and comparisons of five major approaches. Leading scholars apply their respective analytic lenses to a narrative account and interview featuring "Teresa," a young opera singer who experienced a career-changing illness. The resulting analyses vividly exemplify what each approach looks like in action. The researchers then probe the similarities and differences among their approaches; their distinctive purposes and strengths; the role, style, and subjectivity of the individual researcher; and the scientific and ethical complexities of conducting qualitative research. Also included are the research participant's responses to each analysis of her experience. A narrative account from another research participant, "Gail," can be used by readers to practice the kinds of analysis explored in the book.

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Stochastic Analysis for Finance with Simulations - Geon Ho Choe

This book is an introduction to stochastic analysis and quantitative finance; it includes both theoretical and computational methods. Topics covered are stochastic calculus, option pricing, optimal portfolio investment, and interest rate models. Also included are simulations of stochastic phenomena, numerical solutions of the Black-Scholes-Merton equation, Monte Carlo methods, and time series. Basic measure theory is used as a tool to describe probabilistic phenomena. The level of familiarity with computer programming is kept to a minimum. To make the book accessible to a wider audience, some background mathematical facts are included in the first part of the book and also in the appendices. This work attempts to bridge the gap between mathematics and finance by using diagrams, graphs and simulations in addition to rigorous theoretical exposition. Simulations are not only used as the computational method in quantitative finance, but they can also facilitate an intuitive and deeper understanding of theoretical concepts. Stochastic Analysis for Finance with Simulations is designed for readers who want to have a deeper understanding of the delicate theory of quantitative finance by doing computer simulations in addition to theoretical study. It will particularly appeal to advanced undergraduate and graduate students in mathematics and business, but not excluding ... Unknown localization key: "more"

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The Handbook of Transactional Analysis Psychotherapy - Biljana van Rijn, Joel Vos

This book is a comprehensive introduction to Transactional Analysis theory, evidence-base and practice. It provides a step by step manual to the competencies and skills needed across the therapy process, and a guide to working with a variety of client issues. Supported by case studies, reflective questions, boxed summaries, and process questionnaires, this is the ideal book to support you in your training and practice. It is an essential companion whether you’re studying on a specialist TA courses, studying TA as part of a wider training or integrating TA into your practice.

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Introducing Economics: A Graphic Guide - David Orrell

A comic-book introduction to economics from David Orrell, the author of Economyths: 11 Ways Economics Gets it Wrong. With illustrations from Borin Van Loon. Part of the internationally-recognised Introducing Graphic Guide series. Today, it seems, all things are measured by economists. The so-called ‘dismal science’ has never been more popular – or, given its failure to predict or prevent the recent financial crisis, more controversial. But what are the findings of economics? Is it really a science? And how can it help our lives? Introducing Economics traces the history of the subject from the ancient Greeks to the present day. Orrell and Van Loon bring to life the contributions of great economists – such as Adam Smith, Karl Marx, John Maynard Keynes and Milton Friedman – and delve into ideas that are revolutionizing the field. David Orrell is a Canadian mathematician who lives in Oxford, where he also obtained his doctorate. His work in the prediction of complex systems such as the weather, genetics, and the economy has been featured in New Scientist, the Financial Times, BBC Radio and CBC TV. He is the author of Economyths: 11 Ways Economists Get it Wrong.

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The Routledge Companion to Butoh Performance

The Routledge Companion to Butoh Performance provides a comprehensive introduction to and analysis of the global art form butoh.Originating in Japan in the 1960s, butoh was a major innovation in twentieth century dance and performance, and it continues to shape-shift around the world. Taking inspiration from the Japanese avant-garde, Surrealism, Happenings, and authors such as Genet and Artaud, its influence can be seen throughout contemporary performing arts, music, and visual art practices.This Companion places the form in historical context, documents its development in Japan and its spread around the world, and brings together the theory and the practice of this compelling dance. The interdisciplinarity evident in the volume reflects the depth and the breadth of butoh, and the editors bring specially commissioned essays by leading scholars and dancers together with translations of important early texts.The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons Attribution (CC-BY) 4.0 license.

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A Concise Introduction to Machine Learning - A.C. Faul

A Concise Introduction to Machine Learning uses mathematics as the common language to explain a variety of machine learning concepts from basic principles and illustrates every concept using examples in both Python and MATLAB®, which are available on GitHub and can be run from there in Binder in a web browser. Each chapter concludes with exercises to explore the content.The emphasis of the book is on the question of Why—only if “why” an algorithm is successful is understood, can it be properly applied and the results trusted. Standard techniques are treated rigorously, including an introduction to the necessary probability theory. This book addresses the commonalities of methods, aims to give a thorough and in-depth treatment and develop intuition for the inner workings of algorithms, while remaining concise.This useful reference should be essential on the bookshelf of anyone employing machine learning techniques, since it is born out of strong experience in university teaching and research on algorithms, while remaining approachable and readable.

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An Introduction to Categorical Data Analysis - Alan Agresti

A valuable new edition of a standard reference The use of statistical methods for categorical data has increased dramatically, particularly for applications in the biomedical and social sciences. An Introduction to Categorical Data Analysis, Third Edition summarizes these methods and shows readers how to use them using software. Readers will find a unified generalized linear models approach that connects logistic regression and loglinear models for discrete data with normal regression for continuous data. Adding to the value in the new edition is: • Illustrations of the use of R software to perform all the analyses in the book • A new chapter on alternative methods for categorical data, including smoothing and regularization methods (such as the lasso), classification methods such as linear discriminant analysis and classification trees, and cluster analysis • New sections in many chapters introducing the Bayesian approach for the methods of that chapter • More than 70 analyses of data sets to illustrate application of the methods, and about 200 exercises, many containing other data sets • An appendix showing how to use SAS, Stata, and SPSS, and an appendix with short solutions to most odd-numbered exercises Written in an applied, nontechnical style, this book illustrates the ... Unknown localization key: "more"

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An Introduction to Statistics and Data Analysis Using Stata® - Lisa Daniels, Nicholas W. Minot

The Second Edition of An Introduction to Statistics and Data Analysis Using Stata®: From Research Design to Final Report provides an integrated approach to methods, statistics, data analysis, and interpretation of results. The book features examples from social science research and news articles along with concise descriptions of statistics, allowing readers to understand the context of data analysis while also learning to communicate the results.

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An Introduction to Secondary Data Analysis with IBM SPSS Statistics - John MacInnes

Many professional, high-quality surveys collect data on people′s behaviour, experiences, lifestyles and attitudes. The data they produce is more accessible than ever before. This book provides students with a comprehensive introduction to using this data, as well as transactional data and big data sources, in their own research projects. Here you will find all you need to know about locating, accessing, preparing and analysing secondary data, along with step-by-step instructions for using IBM SPSS Statistics. You will learn how to: Create a robust research question and design that suits secondary analysis Locate, access and explore data online Understand data documentation Check and ′clean′ secondary data Manage and analyse your data to produce meaningful results Replicate analyses of data in published articles and books Using case studies and video animations to illustrate each step of your research, this book provides you with the quantitative analysis skills you′ll need to pass your course, complete your research project and compete in the job market. Exercises throughout the book and on the book′s companion website give you an opportunity to practice, check your understanding and work hands on with real data as you′re learning.

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Introduction to the Design and Analysis of Algorithms - Anany Levitin

Based on a new classification of algorithm design techniques and a clear delineation of analysis methods, Introduction to the Design and Analysis of Algorithms presents the subject in a coherent and innovative manner. Written in a student-friendly style, the book emphasises the understanding of ideas over excessively formal treatment while thoroughly covering the material required in an introductory algorithms course. Popular puzzles are used to motivate students'' interest and strengthen their skills in algorithmic problem solving. Other learning-enhancement features include chapter summaries, hints to the exercises, and a detailed solution manual.

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Introduction to Statistics and Data Analysis - Christina Olséni, Roxy Peck

Peck and Olsen’s INTRODUCTION TO STATISTICS AND DATA ANALYSIS, 7th Edition helps you develop the ability to think statistically through its focus on conceptual understanding, use of real data and interpretation and communication of statistical information. Graphical displays of complex data sets are now common both online and in print media, and it is important to be able to interpret these types of displays. The 7th edition contains a new section on graphical displays of multivariable data, with a focus on extracting information and learning from them. WebAssign for Statistics accompanies this text. Designed by educators, WebAssign helps you learn not just do homework. WebAssign grants access to the ebook, assessments and analytics to enable you to be a self-sufficient learner and help you succeed in your course.

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Introduction to Banach Spaces: Analysis and Probability - Daniel Li, Herve Queffelec

This two-volume text provides a complete overview of the theory of Banach spaces, emphasising its interplay with classical and harmonic analysis (particularly Sidon sets) and probability. The authors give a full exposition of all results, as well as numerous exercises and comments to complement the text and aid graduate students in functional analysis. The book will also be an invaluable reference volume for researchers in analysis. Volume 1 covers the basics of Banach space theory, operatory theory in Banach spaces, harmonic analysis and probability. The authors also provide an annex devoted to compact Abelian groups. Volume 2 focuses on applications of the tools presented in the first volume, including Dvoretzky''s theorem, spaces without the approximation property, Gaussian processes, and more. Four leading experts also provide surveys outlining major developments in the field since the publication of the original French edition.

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Introduction to Machine Learning with Python - Andreas C. Mueller

Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions.

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Introduction to Machine Learning with Applications in Information Security - Mark Stamp

This class-tested textbook will provide in-depth coverage of the fundamentals of machine learning, with an exploration of applications in information security. The book will cover malware detection, cryptography, and intrusion detection. The book will be relevant for students in machine learning and computer security courses.

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Introduction To Analysis With Complex Numbers - Irena Swanson

This is a self-contained book that covers the standard topics in introductory analysis and that in addition constructs the natural, rational, real and complex numbers, and also handles complex-valued functions, sequences, and series.The book teaches how to write proofs. Fundamental proof-writing logic is covered in Chapter 1 and is repeated and enhanced in two appendices. Many examples of proofs appear with words in a different font for what should be going on in the proof writer''s head.The book contains many examples and exercises to solidify the understanding. The material is presented rigorously with proofs and with many worked-out examples. Exercises are varied, many involve proofs, and some provide additional learning materials.

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Corporate Financial Reporting and Analysis - David S. Young, Daniel A. Bens, Jacob Cohen

Corporate Financial Reporting Analysis combines comprehensive coverage and a rigorous approach to modern financial reporting with a readable and accessible style. Merging traditional principles of corporate finance and accepted reporting practices with current models enable the reader to develop essential interpretation and analysis skills, while the emphasis on real-world practicality and methodology provides seamless coverage of both GAAP and IFRS requirements for enhanced global relevance. Two decades of classroom testing among INSEAD MBA students has honed this text to provide the clearest, most comprehensive model for financial statement interpretation and analysis; a concise, logically organized pedagogical framework includes problems, discussion questions, and real-world case studies that illustrate applications and current practices, and in-depth examination of key topics clarifies complex concepts and builds professional intuition. With insightful coverage of revenue recognition, inventory accounting, receivables, long-term assets, M&A, income taxes, and other principle topics, this book provides both education and ongoing reference for MBA students.

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An Introduction to Health and Safety Law - David Branson

An Introduction to Health and Safety Law provides a clear, concise overview of health and safety law in the United Kingdom. With reference to the European Union, this book discusses criminal and civil liability at length to provide a clear understanding of this area of law which has been subject to change over the 20 years. Key case studies and statistical information on prosecutions, fines and enforcement notices help to contextualise health and safety law to provide students and professionals with a full understanding of health and safety law in the UK.This book includes chapters on:the legal framework criminal liability enforcement of criminal liability civil liability civil remedy subordinate legislation.This book is an essential reference for students studying towards NEBOSH qualifications and students studying at university level. It provides a comprehensive understanding of UK health and safety law and will be a useful reference when entering the professional field.

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Oathbreakers - Gabriele Matthew, David M. Perry

“Fascinating.” — The Wall Street Journal“An enlightening portrait of the medieval mindset.” — Publishers WeeklyThe authors of The Bright Ages return with a “real-life Game of Thrones” (New York Times Book Review)—the story of the Carolingian Civil War, a bloody, protracted battle pitting brother against brother, father against son, that would end an empire, upend a continent, and redefine the future of European history. By the early ninth century, the Carolingian empire was at the height of its power. The Franks, led by Charlemagne, had built the largest European domain since Rome in its heyday. Though they jockeyed for power, prestige, and profit, the Frankish elites enjoyed political and cultural consensus. But just two generations later, their world was in shambles. Civil war, once an unthinkable threat, had erupted after Louis the Pious’s sons tried to overthrow him—and then placed their knives at the other’s neck. Families who had once charged into battle together now drew each other’s blood. The Carolingian Civil War would rage for years as kings fought kings, brother faced off against brother, and sons challenged fathers. Oathbreakers is the dramatic history of this brutal, turbulent time. Medieval historians David M. Perry and Matthew Gabriele illuminate what ... Unknown localization key: "more"

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CCEA AS Unit 1 Business Studies Student Guide 1: Introduction to Business - John McLaughlin, David McAree

Reinforce your understanding of CCEA AS Unit 1: Introduction to Business and improve your exam technique for the CCEA Business AS Unit 1 assessment.Packed full of clear topic summaries, knowledge check questions and sample exam-style questions and answers with commentaries, this guide will help you aim for and achieve the highest grades. This Student Guide will help you to:- Identify key content for the exams with our concise coverage of topics- Avoid common pitfalls with clear definitions and exam tips throughout- Reinforce your learning with bullet-list summaries at the end of each section- Test your knowledge with rapid-fire knowledge check questions and answers- Find out what examiners are looking for with our Questions & Answers section

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Expanding Approaches to Thematic Analysis

Expanding Approaches to Thematic Analysis: Creative Engagements with Qualitative Data springboards readers into a world where generating themes from qualitative data is a creative, experimental, and wondrous process!While no one ever said it had to be, thematic analysis is invariably described as a step-by-step process that involves coding. Yet qualitative data analysis is more than a technical procedure—it invokes imagination and inspiration—intuitional engagements that are as vital to the data analysis process as they are difficult to describe. This edited book begins with two premises: (1) there is more than one way to theme data, and (2) qualitative researchers do not have to code to get to themes. Each chapter introduces readers to a different approach to thematic analysis, explores that approach’s theoretical and disciplinary roots, and illustrates how that approach can be used to generate themes. Approaches include annotating, memoing, storying, writing, composing poems, artmaking, meditating, and more, expanding conceptualizations of what themes and thematic analysis can be. The book also includes ‘methodologies in action’: helpful examples of creative theming from doctoral students and early career scholars.This book is as much a provocation for engaging thematic analysis beyond/without/in addition to coding as it is a resource for anyone interested ... Unknown localization key: "more"

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Patrick Moore's Astronomy: A Complete Introduction: Teach Yourself - Sir Patrick Moore, Percy Seymour

Astronomy: A Complete Introduction will ensure you recognize what you are seeing in the night sky. You will investigate the sun, moon, planets comets and stars and learn how to observe them. This comprehensive guide, complete with star charts, will map out the skies and allow you to impress your friends with your knowledge of the sky at night.Astronomy: A Complete Introduction includes:Chapter 1: Introducing AstronomyChapter 2: The spinning skyChapter 3: Sky-watchersChapter 4: The astronomer''s telescopeChapter 5: Into spaceChapter 6: The SunChapter 7: The MoonChapter 8: The Sun''s familyChapter 9: The inner planetsChapter 10: The outer planetsChapter 11: Minor members of the Solar SystemChapter 12: The starsChapter 13: Pattern of starsChapter 14: Double and variable starsChapter 15: The life and times of a starChapter 16: The Star-clusters and nebulaeChapter 17: The depths of the universeChapter 18: Into the future - life beyond the Earth

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Pharmaceutical Analysis - David G. Watson

Pharmaceutical analysis determines the purity, concentration, active compounds, shelf life, rate of absorption in the body, identity, stability, rate of release etc. of a drug. Testing a pharmaceutical product involves a variety of analyses, and the analytical processes described in this book are used in industries as diverse as food, beverages, cosmetics, detergents, metals, paints, water, agrochemicals, biotechnological products and pharmaceuticals. The mathematics involved is notoriously difficult, but this much-praised and well established textbook, now revised and updated for its fifth edition, guides a student through the complexities with clear writing and the author's expertise from many years' teaching pharmacy students. Worked calculation examples and self-assessment test questions aid continuous learning reinforcement throughout Frequent use of figures and diagrams clarify points made in the text Practical examples are used to show the application of techniques Key points boxes summarise the need to know information for each topic Focuses on the most relevant and frequently used techniques within the field

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How to Think About Analysis - Lara Alcock

Analysis (sometimes called Real Analysis or Advanced Calculus) is a core subject in most undergraduate mathematics degrees. It is elegant, clever and rewarding to learn, but it is hard. Even the best students find it challenging, and those who are unprepared often find it incomprehensible at first. This book aims to ensure that no student need be unprepared. It is not like other Analysis books. It is not a textbook containing standard content. Rather, it is designed to be read before arriving at university and/or before starting an Analysis course, or as a companion text once a course is begun. It provides a friendly and readable introduction to the subject by building on the student''s existing understanding of six key topics: sequences, series, continuity, differentiability, integrability and the real numbers. It explains how mathematicians develop and use sophisticated formal versions of these ideas, and provides a detailed introduction to the central definitions, theorems and proofs, pointing out typical areas of difficulty and confusion and explaining how to overcome these. The book also provides study advice focused on the skills that students need if they are to build on this introduction and learn successfully in their own Analysis courses: it explains ... Unknown localization key: "more"

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The Object-Oriented Approach to Problem Solving and Machine Learning with Python - Maha Hadid, Sujith Samuel Mathew, Shahbano Farooq, Mohammad Amin K

This book is a comprehensive guide suitable for beginners and experienced developers alike. It teaches readers how to master object-oriented programming (OOP) with Python and use it in real-world applications.Start by solidifying your OOP foundation with clear explanations of core concepts like use cases and class diagrams. This book goes beyond theory as you get practical examples with well-documented source code available in the book and on GitHub.This book doesn''t stop at the basics. Explore how OOP empowers fields like data persistence, graphical user interfaces (GUIs), machine learning, and data science, including social media analysis. Learn about machine learning algorithms for classification, regression, and unsupervised learning, putting you at the forefront of AI innovation.Each chapter is designed for hands-on learning. You''ll solidify your understanding with case studies, exercises, and projects that apply your newfound knowledge to real-world scenarios. The progressive structure ensures mastery, with each chapter building on the previous one, reinforced by exercises and projects.Numerous code examples and access to the source code enhance your learning experience. This book is your one-stop shop for mastering OOP with Python and venturing into the exciting world of machine learning and data science.

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Anatomy & Physiology: A Complete Introduction: Teach Yourself - David Le Vay

Anatomy & Physiology: A Complete Introduction is designed to give you everything you need to succeed, all in one place. It covers the key areas that students are expected to be confident in, outlining the basics in clear, jargon-free English and providing added-value features like summaries of key books and even lists of questions you might be asked in your seminar or exam.The book uses a structure that mirrors the way anatomy & physiology is taught on many university courses, providing a comprehensive introduction to the structure and function of the human body. Extensively illustrated, the book also covers modern methods of investigation, relevant aspects of modern genetics, sports injuries, environmental and evolutionary considerations, and the physiological aspects of AIDS. Topics covered include: cells and tissues; the skeleton; muscle; body coverings and body systems; the upper limb; the lower limb; the abdomen; the thorax; the head and neck; basic biophysics and chemistry; foodstuffs and vitamins; digestion; absorption, utilization and storage of digested food; blood, lymph and reticuloendothelial (immune) system; the heart and circulation; respiration; excretion; nervous system and sense organs; the endocrine system; reproduction and development; environmental considerations; evolution.Anatomy & Physiology employs the ''Breakthrough Method'' to help you advance quickly ... Unknown localization key: "more"

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Florence & The Machine: Dance Fever (Deluxe Hardback Book) - CD (4545415)

Jedná se o páté studiové album skupiny Florence and the Machine vydané v roce 2022. Produkt je deluxe edice obsahující CD a knihu s pevnou vazbou. Album patří do žánru indie rocku.

  • Deluxe edice s pevnou vazbou knihy
  • Páté studiové album Florence and the Machine
  • Kolekční vydání pro fanoušky
  • Album z roku 2022 v kompletní verzi

Objev podobné jako Florence & The Machine: Dance Fever (Deluxe Hardback Book) - CD (4545415)

An Introduction to Cognitive Behaviour Therapy - David Westbrook, Joan Kirk, Helen Kennerley

This bestselling guide to the basic theory, skills and applications of cognitive behaviour therapy is fully updated to reflect recent developments in CBT theory. It includes in-depth material on working with diversity, and new case studies and exercises to help you reflect and explore how theory can be used to develop effective practice. The Companion Website features over 40 videos illustrating the CBT skills and strategies discussed in the book, including: Measuring CBT’s effectiveness Socratic method and applications Physical techniques and behavioural experiments Applications of CBT to specific client disorders Using supervision in CBT.Â

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The Bread Machine Book - Lukas Volger

A modern, everything-you-need-to-know guide to baking perfect bread with a bread machine at home, with 75 recipes.In The Bread Machine Book, veteran cookbook author Lukas Volger offers a thorough guide to the versatile bread machine. You''ll learn how to buy one, use one, and utilize different ingredients and techniques to make your creations sing. The 75 recipes can be made in any bread machine you have at home, including: Buttery BriocheHoney-Barley Milk Bread Choose-Your-Own-Adventure Swirl Bread Date & Pecan Sourdough Loaf Ranch Rolls Matcha Ricotta Tea CakeEach recipe contains a "faster" and a "slower" method: The fast utilizes the machine’s presets (just throw everything into your bread machine and let it work its magic), while the slower isolates the kneading and the baking functions to create bread with more developed flavor and better structure for not much extra work. With comprehensive but easy-to-digest tips for success—including measuring methods, temperature targets, machine and visual cues to look for, and opportunities for hijacking your bread machine to knead and proof dough to be baked in your oven—this is the only book you need to bring easy, fail-proof loaves to the table every day.

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How to Train Your Sewing Machine - Rehana Begum

A real-world beginner’s guide to mastering your sewing machine and making your own clothes and accessories Trained on Savile Row, Rehana Begum’s taught sewing for years, and knows how to introduce beginners to their sewing machines without stress or disaster. Now she presents that expertise in an elegant contemporary format. With the book’s clearly illustrated techniques section, you’ll quickly learn how to thread your machine, choose your stitch, and start up without creating a frustrating tangle of knots. Begum then introduces simple patterns, including a tote bag and a simple dress, so you’ll quickly be able to build on your skills and turn them into finished products to be proud of. Removing the fear, this book will painlessly get you sewing—and open the way to a satisfying skill that will serve you for the rest of your life.

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Machine Learning in Elixir - Sean Moriarity

Stable Diffusion, ChatGPT, Whisper - these are just a few examples of incredible applications powered by developments in machine learning. Despite the ubiquity of machine learning applications running in production, there are only a few viable language choices for data science and machine learning tasks. Elixir''s Nx project seeks to change that. With Nx, you can leverage the power of machine learning in your applications, using the battle-tested Erlang VM in a pragmatic language like Elixir. In this book, you''ll learn how to leverage Elixir and the Nx ecosystem to solve real-world problems in computer vision, natural language processing, and more.The Elixir Nx project aims to make machine learning possible without the need to leave Elixir for solutions in other languages. And even if concepts like linear models and logistic regression are new to you, you''ll be using them and much more to solve real-world problems in no time.Start with the basics of the Nx programming paradigm - how it differs from the Elixir programming style you''re used to and how it enables you to write machine learning algorithms. Use your understanding of this paradigm to implement foundational machine learning algorithms from scratch. Go deeper and discover the power of ... Unknown localization key: "more"

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Introduction to Econometrics, Global Edition - Mark Watson, James Stock

Learn more about modern Econometrics with this comprehensive introduction to the field, featuring engaging applications and bringing contemporary theories to life. Introduction to Econometrics, 4th Edition, Global Edition by Stock and Watson is the ultimate introductory guide that connects modern theory with motivating, engaging applications. The text ensures you get a solid grasp of this challenging subject''s theoretical background, building on the philosophy that applications should drive the theory, not the other way around. The latest edition maintains the focus on currency, focusing on empirical analysis and incorporating real-world questions and data by using results directly relevant to the applications. The text contextualises the study of Econometrics with a comprehensive introduction and review of economics, data, and statistics before proceeding to an extensive regression analysis studying the different variables and regression parameters. With a large data set increasingly used in Economics and related fields, a new chapter dedicated to Big Data will help you learn more about this growing and exciting area. Sharing a variety of resources and tools to help your understanding and critical thinking of the topics introduced, such as General Interest boxes, or end-of-chapter, and empirical exercises and summaries, this industry-leading text will help you acquire a ... Unknown localization key: "more"

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Machine Learning For Dummies - John Paul Mueller, Luca Massaron

The most human-friendly book on machine learning Somewhere buried in all the systems that drive artificial intelligence, you'll find machine learning—the process that allows technology to build knowledge based on data and patterns. Machine Learning For Dummies is an excellent starting point for anyone who wants deeper insight into how all this learning actually happens. This book offers an overview of machine learning and its most important practical applications. Then, you'll dive into the tools, code, and math that make machine learning go—and you'll even get step-by-step instructions for testing it out on your own. For an easy-to-follow introduction to building smart algorithms, this Dummies guide is your go-to. Piece together what machine learning is, what it can do, and what it can't doLearn the basics of machine learning code and how it integrates with large datasetsUnderstand the mathematical principles that AI uses to make itself smarterConsider real-world applications of machine learning and write your own algorithms With clear explanations and hands-on instruction, Machine Learning For Dummies is a great entry-level resource for developers looking to get started with AI and machine learning.

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A Practical Guide to Data Analysis - Andrew Jones, Christiansen

Using statistics to analyse research data can be tricky when you are getting started. This book shows you how to effectively conduct statistical analysis in both R and SPSS without getting overwhelmed by complex theories and formulas.It is a practical manual that uses worked examples to help you get to grips with running statistical tests using commonly used software. Straightforward and clear, it assumes no prior knowledge and calmly takes you from reading the first page to completing your own analysis.It also: Covers all the statistics you need to know to pass your exam and do well at coursework Presents varied, adaptable solutions to common problems. Embeds road-tested best practice into every stage of your analysis. Provides you with programming skills that boost your employability.  Gives any essential theory in a simple, easy to follow, manner Helps to bridge the gap between using SPSS and R (or vice versa)If you want to strengthen your grasp of statistics, overcome statistics anxiety or just pass your course - this is the guide for you.Â

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Human and Machine Learning

With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement of computation powers, machine learning becomes hot in different applications. However, because of the nature of "black-box" in ML methods, ML still needs to be interpreted to link human and machine learning for transparency and user acceptance of delivered solutions. This edited book addresses such links from the perspectives of visualisation, explanation, trustworthiness and transparency. The book establishes the link between human and machine learning by exploring transparency in machine learning, visual explanation of ML processes, algorithmic explanation of ML models, human cognitive responses in ML-based decision making, human evaluation of machine learning and domain knowledge in transparent ML applications.This is the first book of its kind to systematically understand the current active research activities and outcomes related to human and machine learning. The book will not only inspire researchers to passionately develop new algorithms incorporating human for human-centred ML algorithms, resulting in the overall advancement of ML, but also help ML practitioners proactively use ML outputs for informative and trustworthy decision making.This book is intended for researchers and practitioners involved with machine learning and its applications. The book will especially ... Unknown localization key: "more"

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Master the Coverstitch Machine - Johanna Lundstrom

Get ready to take your coverstitch machine skills to the next level! Learn all the necessary techniques you need in order to create professional-looking garments that will rival ready-to-wear.Master the Coverstitch machine will guide you through the best practices needed for successful coverstitching, with easy to understand, illustrated, step-by-step instructions.With the basics covered, you’ll be able to create garments following the detailed tutorials on everything from sewing binding and neckband to jeans making and underwear.Master the Coverstitch Machine will teach you how to:Hem garments like a proSew binding, ribbing and other neckline finishesBuy the coverstitch machine that best fits your needsUse professional techniques for swimwear, activewear and underwearStitch decorative seamsUse a coverstitch machine for jeans makingFix common coverstitch issuesUse different presser feet and attachments for maximum resultsPick the right type of needles and thread for your projectsClean and maintain your machineMaster the Coverstitch Machine also features sewing industry experts who share their best tips for successful coverstitching. Coverstitching can be daunting, but it doesn't have to be. If you follow the methods described in this book you'll be amazed how little tweaks can vastly improve the end result!

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Management: An Introduction - David Boddy

Develop key skills and enhance understanding of management theory and practice. Management, 9th Edition is a comprehensive and accessible introduction to the theory and practice of management. Designed to support those new to the field throughout their studies, the new edition will help you to develop your critical thinking, data gathering, self-reflection, communication, and problem-solving skills. Underpinned by reliable and up-to-date empirical research, this market-leading textbook combines robust academic perspectives with practical applications. Key features include: Diverse case studies and examples from across sectors and organisations help you connect academic theory to real-world challenges and strategies Topics such as cultures and contexts, decision-making and strategy, and entrepreneurship An enhanced focus on contemporary management themes of sustainability and responsible management New "Management in Practice" illustrations that particularly address climate impact and sustainability issues. New sections covering the Grand Societal Challenges where change depends on securing agreement between many diverse global stakeholders As a result, this is an ideal guide and companion for your studies and an essential resource for those looking to develop their understanding and enhance their professional skillsets as future managers and business leaders.

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How to Machine Sew: Techniques and Projects for the Complete Beginner - Susie Johns

If you've always wanted to learn to use a sewing machine but didn't know where to start, this guide for the absolute beginner is for you. This simple-to-follow project-based book takes you through the basic techniques of using a sewing machine. You'll learn everything you need to get started.

Objev podobné jako How to Machine Sew: Techniques and Projects for the Complete Beginner - Susie Johns