Download or read book Market Segmentation Analysis written by Sara Dolnicar and published by Springer. This book was released on 2018-07-20 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is published open access under a CC BY 4.0 license. This open access book offers something for everyone working with market segmentation: practical guidance for users of market segmentation solutions; organisational guidance on implementation issues; guidance for market researchers in charge of collecting suitable data; and guidance for data analysts with respect to the technical and statistical aspects of market segmentation analysis. Even market segmentation experts will find something new, including an approach to exploring data structure and choosing a suitable number of market segments, and a vast array of useful visualisation techniques that make interpretation of market segments and selection of target segments easier. The book talks the reader through every single step, every single potential pitfall, and every single decision that needs to be made to ensure market segmentation analysis is conducted as well as possible. All calculations are accompanied not only with a detailed explanation, but also with R code that allows readers to replicate any aspect of what is being covered in the book using R, the open-source environment for statistical computing and graphics.
Download or read book Handbook of Market Segmentation written by Art Weinstein and published by Psychology Press. This book was released on 2004 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a practical how-to guide to what marketers need to know about defining, segmenting and targeting business markets: assessing customer needs; gauging the competition; designing winning strategies; and maximising corporate resources.
Download or read book Practical Machine Learning for Computer Vision written by Valliappa Lakshmanan and published by "O'Reilly Media, Inc.". This book was released on 2021-07-21 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: This practical book shows you how to employ machine learning models to extract information from images. ML engineers and data scientists will learn how to solve a variety of image problems including classification, object detection, autoencoders, image generation, counting, and captioning with proven ML techniques. This book provides a great introduction to end-to-end deep learning: dataset creation, data preprocessing, model design, model training, evaluation, deployment, and interpretability. Google engineers Valliappa Lakshmanan, Martin Görner, and Ryan Gillard show you how to develop accurate and explainable computer vision ML models and put them into large-scale production using robust ML architecture in a flexible and maintainable way. You'll learn how to design, train, evaluate, and predict with models written in TensorFlow or Keras. You'll learn how to: Design ML architecture for computer vision tasks Select a model (such as ResNet, SqueezeNet, or EfficientNet) appropriate to your task Create an end-to-end ML pipeline to train, evaluate, deploy, and explain your model Preprocess images for data augmentation and to support learnability Incorporate explainability and responsible AI best practices Deploy image models as web services or on edge devices Monitor and manage ML models
Download or read book Market Segmentation written by Michel Wedel and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern marketing techniques in industrialized countries cannot be implemented without segmentation of the potential market. Goods are no longer produced and sold without a significant consideration of customer needs combined with a recognition that these needs are heterogeneous. Since first emerging in the late 1950s, the concept of segmentation has been one of the most researched topics in the marketing literature. Segmentation has become a central topic to both the theory and practice of marketing, particularly in the recent development of finite mixture models to better identify market segments. This second edition of Market Segmentation updates and extends the integrated examination of segmentation theory and methodology begun in the first edition. A chapter on mixture model analysis of paired comparison data has been added, together with a new chapter on the pros and cons of the mixture model. The book starts with a framework for considering the various bases and methods available for conducting segmentation studies. The second section contains a more detailed discussion of the methodology for market segmentation, from traditional clustering algorithms to more recent developments in finite mixtures and latent class models. Three types of finite mixture models are discussed in this second section: simple mixtures, mixtures of regressions and mixtures of unfolding models. The third main section is devoted to special topics in market segmentation such as joint segmentation, segmentation using tailored interviewing and segmentation with structural equation models. The fourth part covers four major approaches to applied market segmentation: geo-demographic, lifestyle, response-based, and conjoint analysis. The final concluding section discusses directions for further research.
Download or read book A Handbook written by Rebecca Elmore-Yalch and published by Transportation Research Board. This book was released on 1998 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides an overview of market segmentation--what it is and why it is relevant to public transit agencies. It serves as an introduction for managers to the basic concepts and approaches of market segmentation and provides steps and procedures for marketers or market researchers who have the responsibility for implementing a market segmentation program.
Download or read book Practical Machine Learning with Python written by Dipanjan Sarkar and published by Apress. This book was released on 2017-12-20 with total page 545 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master the essential skills needed to recognize and solve complex problems with machine learning and deep learning. Using real-world examples that leverage the popular Python machine learning ecosystem, this book is your perfect companion for learning the art and science of machine learning to become a successful practitioner. The concepts, techniques, tools, frameworks, and methodologies used in this book will teach you how to think, design, build, and execute machine learning systems and projects successfully. Practical Machine Learning with Python follows a structured and comprehensive three-tiered approach packed with hands-on examples and code. Part 1 focuses on understanding machine learning concepts and tools. This includes machine learning basics with a broad overview of algorithms, techniques, concepts and applications, followed by a tour of the entire Python machine learning ecosystem. Brief guides for useful machine learning tools, libraries and frameworks are also covered. Part 2 details standard machine learning pipelines, with an emphasis on data processing analysis, feature engineering, and modeling. You will learn how to process, wrangle, summarize and visualize data in its various forms. Feature engineering and selection methodologies will be covered in detail with real-world datasets followed by model building, tuning, interpretation and deployment. Part 3 explores multiple real-world case studies spanning diverse domains and industries like retail, transportation, movies, music, marketing, computer vision and finance. For each case study, you will learn the application of various machine learning techniques and methods. The hands-on examples will help you become familiar with state-of-the-art machine learning tools and techniques and understand what algorithms are best suited for any problem. Practical Machine Learning with Python will empower you to start solving your own problems with machine learning today! What You'll Learn Execute end-to-end machine learning projects and systems Implement hands-on examples with industry standard, open source, robust machine learning tools and frameworks Review case studies depicting applications of machine learning and deep learning on diverse domains and industries Apply a wide range of machine learning models including regression, classification, and clustering. Understand and apply the latest models and methodologies from deep learning including CNNs, RNNs, LSTMs and transfer learning. Who This Book Is For IT professionals, analysts, developers, data scientists, engineers, graduate students
Download or read book A Practical Approach to Medical Image Processing written by Elizabeth Berry and published by Taylor & Francis. This book was released on 2007-12-07 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ability to manipulate and analyze pictorial information to improve medical diagnosis, monitoring, and therapy via imaging is a valuable tool that every professional working in radiography, medical imaging, and medical physics should utilize. However, previous texts on the subject have only approached the subject from a programming or computer s
Download or read book CIM Coursebook 07 08 Marketing in Practice written by Tony Curtis and published by Routledge. This book was released on 2012-05-23 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: BH CIM Coursebooks are crammed with a range of learning objective questions, activities, definitions and summaries to support and test your understanding of the theory. The 07/08 editions contains new case studies which help keep the student up to date with changes in Marketing Environemnt strategies. Carefully structured to link directly to the CIM syllabus, this Coursebook is user-friendly, interactive and relevant. Each Coursebook is accompanied by access to MARKETINGONLINE (www.marketingonline.co.uk), a unique online learning resource designed specifically for CIM students which can be accessed at any time.
Download or read book Practical Credit Risk and Capital Modeling and Validation written by Colin Chen and published by Springer Nature. This book was released on with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Interactive Segmentation Techniques written by Jia He and published by Springer Science & Business Media. This book was released on 2013-08-31 with total page 82 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on interactive segmentation techniques, which have been extensively studied in recent decades. Interactive segmentation emphasizes clear extraction of objects of interest, whose locations are roughly indicated by human interactions based on high level perception. This book will first introduce classic graph-cut segmentation algorithms and then discuss state-of-the-art techniques, including graph matching methods, region merging and label propagation, clustering methods, and segmentation methods based on edge detection. A comparative analysis of these methods will be provided with quantitative and qualitative performance evaluation, which will be illustrated using natural and synthetic images. Also, extensive statistical performance comparisons will be made. Pros and cons of these interactive segmentation methods will be pointed out, and their applications will be discussed. There have been only a few surveys on interactive segmentation techniques, and those surveys do not cover recent state-of-the art techniques. By providing comprehensive up-to-date survey on the fast developing topic and the performance evaluation, this book can help readers learn interactive segmentation techniques quickly and thoroughly.
Download or read book CIM Coursebook 06 07 Marketing in Practice written by Tony Curtis and published by Routledge. This book was released on 2007-07-11 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: Elsevier/Butterworth-Heinemann’s 2006-2007 Official CIM Coursebook series offers you the complete package for exam success. Comprising fully updated Coursebook texts that are revised annually and independently reviewed. The only coursebooks recomended by CIM include free online access to the MarketingOnline learning interface offering everything you need to study for your CIM qualification. Carefully structured to link directly to the CIM syllabus, this Coursebook is user-friendly, interactive and relevant. Each Coursebook is accompanied by access to MARKETINGONLINE (www.marketingonline.co.uk), a unique online learning resource designed specifically for CIM students, where you can: *Annotate, customise and create personally tailored notes using the electronic version of the Coursebook *Search the Coursebook online for easy access to definitions and key concepts *Access the glossary for a comprehensive list of marketing terms and their meanings
Download or read book Practical Implementation Science written by Bryan J. Weiner, PhD and published by Springer Publishing Company. This book was released on 2022-03-18 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: Prose Award Finalist for Nursing and Allied Health Services Category! Awarded First Place in the AJN 2022 Book of the Year Awards in the Community/Public Health Category! "Practical Implementation Science: Moving Evidence Into Action provides the ideal text for a master’s-level implementation science course. It fills an important gap by focusing on building skills among trainees whose careers will focus more on implementation practice than research, and prepares them to partner with scientists to enhance effective implementation in public health and health systems. Most importantly, my students feel that the book is helping make a topic that can be experienced as complex, very accessible." Donna Shelley, MD, MPH Professor Dept. Public Health Policy and Management Director, Global Center for Implementation Science NYU School of Global Public Health Practical Implementation Science is designed for graduate health professional and advanced undergraduate students who want to master the steps of using implementation science to improve public health. Engaging and accessible, this textbook demonstrates how to implement evidence-based practices effectively through use of relevant theories, frameworks, models, tools, and research findings. Additional real-world case studies across public health, global health, and health policy provide essential context to the major issues facing implementation domestically and globally with consideration of communities in low-to-middle-income countries (LMIC). The textbook is organized around the steps involved in planning, executing, and evaluating implementation efforts to improve health outcomes in communities. Coverage spans assessing the knowledge-practice gap; selecting an evidence-based practice (EBP) to reduce the gap; assessing EBP fit and adapting the EBP; assessing barriers and facilitators of implementation; engaging stakeholders; creating an implementation structure; implementing the EBP; and evaluating the EBP effort. Each chapter includes a "how to" approach to conducting the task at hand. The text also addresses the practical importance of implementation science through disseminating EBPs; scaling up EBPs; sustaining EBPs; and de-implementing practices that are no longer effective. All chapters include learning objectives and summaries with emphasized Key Points for Practice, Common Pitfalls in Practice, and discussion questions to direct learning and classroom discussion. Fit for students of public health, health policy, nursing, medicine, mental health, behavioral health, allied health, and social work, Practical Implementation Science seeks to bridge the gap from scientific evidence to effective practice. Key Features: Soup to Nuts Approach – Distills the steps to selecting, adapting, implementing, evaluating, scaling up, and sustaining evidence-based practices Expert Insight – Editors and chapter authors bring years of experience from leading implementation programs and interventions Multidisciplinary Focus – Utilizes cases and research findings relevant to students of public health, medicine, nursing, mental health, behavioral health, and social work Case Studies and Real-World Examples – Blends frameworks, models, and tools with real-world examples for students interested in both domestic and global health eBook Access – Included with print purchase for use on most mobile devices or computers Instructor's Packet – Complete with an Instructor's Manual, PowerPoint slides, and a Sample Syllabus
Download or read book Insight into Images written by Terry S. Yoo and published by A K Peters/CRC Press. This book was released on 2004-08-16 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: A companion to the Insight Toolkit An introduction to the theory of modern medical image processing, including the analysis of data from - X-ray computer tomography, - magnetic resonance imaging, - nuclear medicine, - and ultrasound. Using an algorithmic approach, and providing the mathematical, statistical, or signal processing as needed for background, the authors describe the principles of all methods implemented in the Insight Toolkit (ITK), a freely available, open- source, object-oriented library. The emphasis is on providing intuitive descriptions of the principles and illustrative examples of results from the leading filtering, segmentation, and registration methods. This book covers the mathematical foundations of important techniques such as: - Statistical pattern recognition, - PDE-based nonlinear image filtering, - Markov random fields, - Level set methods, - Deformable models, - Mutual information, image-based registration - Non-rigid image data fusion With contributions from: Elsa Angelini, Brian Avants, Stephen Aylward, Ting Chen, Jeffrey Duda, Jim Gee, Luis Ibanez, Celina Imielinska, Yinpeng Jin, Jisung Kim, Bill Lorensen, Dimitris Metaxas, Lydia Ng, Punam Saha, George Stetten, Tessa Sundaram, Jay Udupa, Ross Whitaker, Terry Yoo, and Ying Zhuge. The Insight Toolkit is part of the Visible Human Project from the National Library of Medicine, with support from NIDCR, NINDS, NIMH, NEI, NSF, TATRC, NCI, and NIDCD.
Download or read book Market Segmentation Success written by Sally Dibb and published by Routledge. This book was released on 2008 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: Market segmentation is a main aspect of an effective business strategy, but implementation is often difficult and ultimately unsuccessful. Market Segmentation Success: Making It Happen! offers a solid review of the concepts of market segmentation and target market selection, as well as clearly explaining how to create market segments, how to select which customers to target, what problems will be encountered, and how to best overcome these challenges to success. Marketing experts Sally Dibb and Lyndon Simkin use their consultancy-inspired guidance in this easy-to-read text that provides best practice processes, detailed illustrations, and helpful real-world case examples. Market Segmentation Success: Making It Happen! explores the principles and foundations of segmentation, types of problems reported by practitioners, and offers strategies for solving them. The importance of understanding the customer is discussed at length, along with contrasting approaches to conducting quantitative, qualitative, Greenfield, or evolution segmentation. The authors discuss in detail how to identify, diagnose, and treat segmentation blockers and provide 30 rules for segmentation success. This how-to guidebook shows students, beginners, and even the more seasoned professionals how to improve their efforts for success. The book includes numerous figures and tables to clearly illustrate concepts and data. Market Segmentation Success: Making It Happen! is an invaluable resource for business practitioners, consultants, educators, and MBA students working on marketing strategy, marketing management, and marketing operations.
Download or read book Segmentation in Social Marketing written by Timo Dietrich and published by Springer. This book was released on 2016-10-21 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together current innovative methods and approaches to segmentation and outlines why segmentation is needed to support more effective social marketing program design. It presents a variety of segmentation approaches alongside case studies of their application in various social marketing contexts. The book extends the use of segmentation in social marketing, which will ultimately lead to more effective and better-tailored programs that deliver change for the better. As such, it offers a detailed handbook on how to conduct state-of-the-art segmentation, and provides a valuable resource for academics, social marketers, educators, and advanced students alike.
Download or read book CIM Revision Cards Marketing in Practice written by John Williams and published by Routledge. This book was released on 2012-05-04 with total page 155 pages. Available in PDF, EPUB and Kindle. Book excerpt: Designed specifically with revision in mind, the CIM Revision Cards provide concise, yet fundamental information to assist students in passing the CIM exams as easily as possible. A clear, carefully structured layout aids the learning process and ensures the key points are covered in a succinct and accessible manner. The compact, spiral bound format enables the cards to be carried around easily, the content therefore always being on hand, making them invaluable resources no matter where you are. Features such as diagrams and bulleted lists are used throughout to ensure the key points are displayed as clearly and concisely as possible. Each section begins with a list of learning outcomes and ends with hints and tips, thereby ensuring the content is broken down into manageable concepts and can be easily addressed and memorised
Download or read book Foundations and Practical Applications of Cognitive Systems and Information Processing written by Fuchun Sun and published by Springer Science & Business Media. This book was released on 2013-09-21 with total page 869 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Foundations and Practical Applications of Cognitive Systems and Information Processing" presents selected papers from the First International Conference on Cognitive Systems and Information Processing, held in Beijing, China on December 15-17, 2012 (CSIP2012). The aim of this conference is to bring together experts from different fields of expertise to discuss the state-of-the-art in artificial cognitive systems and advanced information processing, and to present new findings and perspectives on future development. This book introduces multidisciplinary perspectives on the subject areas of Cognitive Systems and Information Processing, including cognitive sciences and technology, autonomous vehicles, cognitive psychology, cognitive metrics, information fusion, image/video understanding, brain-computer interfaces, visual cognitive processing, neural computation, bioinformatics, etc. The book will be beneficial for both researchers and practitioners in the fields of Cognitive Science, Computer Science and Cognitive Engineering. Fuchun Sun and Huaping Liu are both professors at the Department of Computer Science & Technology, Tsinghua University, China. Dr. Dewen Hu is a professor at the College of Mechatronics and Automation, National University of Defense Technology, Changsha, China.
