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Matrix Metrics
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Book Synopsis The Tyranny of Metrics by : Jerry Z. Muller
Download or read book The Tyranny of Metrics written by Jerry Z. Muller and published by Princeton University Press. This book was released on 2019-04-30 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: How the obsession with quantifying human performance threatens business, medicine, education, government—and the quality of our lives Today, organizations of all kinds are ruled by the belief that the path to success is quantifying human performance, publicizing the results, and dividing up the rewards based on the numbers. But in our zeal to instill the evaluation process with scientific rigor, we've gone from measuring performance to fixating on measuring itself—and this tyranny of metrics now threatens the quality of our organizations and lives. In this brief, accessible, and powerful book, Jerry Muller uncovers the damage metrics are causing and shows how we can begin to fix the problem. Filled with examples from business, medicine, education, government, and other fields, the book explains why paying for measured performance doesn't work, why surgical scorecards may increase deaths, and much more. But Muller also shows that, when used as a complement to judgment based on personal experience, metrics can be beneficial, and he includes an invaluable checklist of when and how to use them. The result is an essential corrective to a harmful trend that increasingly affects us all.
Book Synopsis Geodesy - the Challenge of the 3rd Millennium by : Erik Grafarend
Download or read book Geodesy - the Challenge of the 3rd Millennium written by Erik Grafarend and published by Springer Science & Business Media. This book was released on 2013-12-11 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: Geodesy as the science which determines the figure of the earth, its orientation in space and its gravity field as well as its temporal changes, produces key elements in describing the kinematics and the dynamics of the deformable body "earth". It contributes in particular to geodynamics and opens the door to decode the complex interactions between components of "the system earth". In the breathtaking development recently a whole arsenal of new terrestrial, airborne as well as satelliteborne measurement techniques for earth sciences have been made available and have broadened the spectrum of measurable earth parameters with an unforeseen accuracy and precision, in particular to resolve the factor time. The book focusses on these topics and gives a state of the art of modern geodesy.
Download or read book Matrix Methods written by Richard Bronson and published by Academic Press. This book was released on 2020-02-05 with total page 513 pages. Available in PDF, EPUB and Kindle. Book excerpt: Matrix Methods: Applied Linear Algebra and Sabermetrics, Fourth Edition, provides a unique and comprehensive balance between the theory and computation of matrices. Rapid changes in technology have made this valuable overview on the application of matrices relevant not just to mathematicians, but to a broad range of other fields. Matrix methods, the essence of linear algebra, can be used to help physical scientists-- chemists, physicists, engineers, statisticians, and economists-- solve real world problems. - Provides early coverage of applications like Markov chains, graph theory and Leontief Models - Contains accessible content that requires only a firm understanding of algebra - Includes dedicated chapters on Linear Programming and Markov Chains
Download or read book Networks 2004 written by Hermann Kaindl and published by Margret Schneider. This book was released on 2004 with total page 457 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Product Design for Modularity by : Ali K. Kamrani
Download or read book Product Design for Modularity written by Ali K. Kamrani and published by Springer Science & Business Media. This book was released on 2002-05-31 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: Kamrani (University of Michigan) and Salhieh (University of Amman) propose a modular approach to the design of complex products using similar components that facilitates a quicker response to changing market demands. The approach focuses on decomposing the overall design problem into functionally independent elements, among which interactions are minimized. The second edition moves the case study of a four gear speed reducer into its own chapter. Annotation copyrighted by Book News, Inc., Portland, OR
Download or read book Pattern Theory written by Ulf Grenander and published by Oxford University Press. This book was released on 2007 with total page 633 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pattern Theory provides a comprehensive and accessible overview of the modern challenges in signal, data, and pattern analysis in speech recognition, computational linguistics, image analysis and computer vision. Aimed at graduate students in biomedical engineering, mathematics, computer science, and electrical engineering with a good background in mathematics and probability, the text includes numerous exercises and an extensive bibliography. Additional resources including extended proofs, selected solutions and examples are available on a companion website. The book commences with a short overview of pattern theory and the basics of statistics and estimation theory. Chapters 3-6 discuss the role of representation of patterns via condition structure. Chapters 7 and 8 examine the second central component of pattern theory: groups of geometric transformation applied to the representation of geometric objects. Chapter 9 moves into probabilistic structures in the continuum, studying random processes and random fields indexed over subsets of Rn. Chapters 10 and 11 continue with transformations and patterns indexed over the continuum. Chapters 12-14 extend from the pure representations of shapes to the Bayes estimation of shapes and their parametric representation. Chapters 15 and 16 study the estimation of infinite dimensional shape in the newly emergent field of Computational Anatomy. Finally, Chapters 17 and 18 look at inference, exploring random sampling approaches for estimation of model order and parametric representing of shapes.
Book Synopsis Land Use Cover Datasets and Validation Tools by : David García-Álvarez
Download or read book Land Use Cover Datasets and Validation Tools written by David García-Álvarez and published by Springer Nature. This book was released on 2022-06-16 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book represents a comprehensive review of available land-use cover data and techniques to validate and analyze this type of spatial information. The book provides the basic theory needed to understand the progress of LUCC mapping/modeling validation practice. It makes accessible to any interested user most of the research community's methods and techniques to validate LUC maps and models. Besides, this book is enriched with practical exercises to be applied with QGIS. The book includes a description of relevant global and supra-national LUC datasets currently available. Finally, the book provides the user with all the information required to manage and download these datasets.
Download or read book AI Tester certification course written by and published by Raimo Dahl. This book was released on 2024-08-05 with total page 115 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unlock the future of software testing with our comprehensive AI Tester Certification Course e-Book! As artificial intelligence continues to revolutionize the tech landscape, the demand for skilled professionals who can effectively integrate AI into testing processes is skyrocketing. This e-book is designed to equip you with the knowledge and skills necessary to become a proficient AI Tester, enabling you to excel in this dynamic field.
Book Synopsis Computer Vision Metrics by : Scott Krig
Download or read book Computer Vision Metrics written by Scott Krig and published by Apress. This book was released on 2014-06-14 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer Vision Metrics provides an extensive survey and analysis of over 100 current and historical feature description and machine vision methods, with a detailed taxonomy for local, regional and global features. This book provides necessary background to develop intuition about why interest point detectors and feature descriptors actually work, how they are designed, with observations about tuning the methods for achieving robustness and invariance targets for specific applications. The survey is broader than it is deep, with over 540 references provided to dig deeper. The taxonomy includes search methods, spectra components, descriptor representation, shape, distance functions, accuracy, efficiency, robustness and invariance attributes, and more. Rather than providing ‘how-to’ source code examples and shortcuts, this book provides a counterpoint discussion to the many fine opencv community source code resources available for hands-on practitioners.
Book Synopsis Encyclopedia of Distances by : Michel Marie Deza
Download or read book Encyclopedia of Distances written by Michel Marie Deza and published by Springer Science & Business Media. This book was released on 2012-10-28 with total page 644 pages. Available in PDF, EPUB and Kindle. Book excerpt: This updated and revised second edition of the leading reference volume on distance metrics includes a wealth of new material that reflects advances in a developing field now regarded as an essential tool in many areas of pure and applied mathematics. Its publication coincides with intensifying research efforts into metric spaces and especially distance design for applications. Accurate metrics have become a crucial goal in computational biology, image analysis, speech recognition and information retrieval. The content focuses on providing academics with an invaluable comprehensive listing of the main available distances. As well as standalone introductions and definitions, the encyclopedia facilitates swift cross-referencing with easily navigable bold-faced textual links to core entries, and includes a wealth of fascinating curiosities that enable non-specialists to deploy research tools previously viewed as arcane. Its value-added context is certain to open novel avenues of research.
Book Synopsis Methods of Matrix Algebra by : Pease
Download or read book Methods of Matrix Algebra written by Pease and published by Academic Press. This book was released on 1964-01-01 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: Methods of Matrix Algebra
Author :CCPS (Center for Chemical Process Safety) Publisher :John Wiley & Sons ISBN 13 :1118795032 Total Pages :212 pages Book Rating :4.1/5 (187 download)
Book Synopsis Guidelines for Integrating Management Systems and Metrics to Improve Process Safety Performance by : CCPS (Center for Chemical Process Safety)
Download or read book Guidelines for Integrating Management Systems and Metrics to Improve Process Safety Performance written by CCPS (Center for Chemical Process Safety) and published by John Wiley & Sons. This book was released on 2016-02-23 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book combines the synergies between performance improvement systems to help ensure safe and reliable operations, streamline procedures and cross-system auditing, and supporting regulatory and corporate compliance requirements. Many metrics are common to more than one area, such that a well-designed and implemented integrated management system will reduce the load on the Process Safety, SHE, Security and Quality groups, and improve manufacturing efficiency and customer satisfaction. Systems to improve performance include: process safety; traditional safety, health and environment; and, product quality. Chapters include: Integrating Framework; Securing Support & Preparing for Implementation; Establishing Common Risk Management Systems – How to Integrate PSM into Other EH; Testing Implementation Approach; Developing and Agreeing on Metrics; Management Review; Tracking Integration Progress and Measuring Performance; Continuous Improvement; Communication of Results to Different Stakeholders; Case Studies; and Examples for Industry.
Book Synopsis Parallelism in Matrix Computations by : Efstratios Gallopoulos
Download or read book Parallelism in Matrix Computations written by Efstratios Gallopoulos and published by Springer. This book was released on 2015-07-25 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is primarily intended as a research monograph that could also be used in graduate courses for the design of parallel algorithms in matrix computations. It assumes general but not extensive knowledge of numerical linear algebra, parallel architectures, and parallel programming paradigms. The book consists of four parts: (I) Basics; (II) Dense and Special Matrix Computations; (III) Sparse Matrix Computations; and (IV) Matrix functions and characteristics. Part I deals with parallel programming paradigms and fundamental kernels, including reordering schemes for sparse matrices. Part II is devoted to dense matrix computations such as parallel algorithms for solving linear systems, linear least squares, the symmetric algebraic eigenvalue problem, and the singular-value decomposition. It also deals with the development of parallel algorithms for special linear systems such as banded ,Vandermonde ,Toeplitz ,and block Toeplitz systems. Part III addresses sparse matrix computations: (a) the development of parallel iterative linear system solvers with emphasis on scalable preconditioners, (b) parallel schemes for obtaining a few of the extreme eigenpairs or those contained in a given interval in the spectrum of a standard or generalized symmetric eigenvalue problem, and (c) parallel methods for computing a few of the extreme singular triplets. Part IV focuses on the development of parallel algorithms for matrix functions and special characteristics such as the matrix pseudospectrum and the determinant. The book also reviews the theoretical and practical background necessary when designing these algorithms and includes an extensive bibliography that will be useful to researchers and students alike. The book brings together many existing algorithms for the fundamental matrix computations that have a proven track record of efficient implementation in terms of data locality and data transfer on state-of-the-art systems, as well as several algorithms that are presented for the first time, focusing on the opportunities for parallelism and algorithm robustness.
Book Synopsis Fighting Churn with Data by : Carl Gold
Download or read book Fighting Churn with Data written by Carl Gold and published by Simon and Schuster. This book was released on 2020-11-13 with total page 502 pages. Available in PDF, EPUB and Kindle. Book excerpt: The beating heart of any product or service business is returning clients. Don't let your hard-won customers vanish, taking their money with them. In Fighting Churn with Data you'll learn powerful data-driven techniques to maximize customer retention and minimize actions that cause them to stop engaging or unsubscribe altogether. Summary The beating heart of any product or service business is returning clients. Don't let your hard-won customers vanish, taking their money with them. In Fighting Churn with Data you'll learn powerful data-driven techniques to maximize customer retention and minimize actions that cause them to stop engaging or unsubscribe altogether. This hands-on guide is packed with techniques for converting raw data into measurable metrics, testing hypotheses, and presenting findings that are easily understandable to non-technical decision makers. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Keeping customers active and engaged is essential for any business that relies on recurring revenue and repeat sales. Customer turnover—or “churn”—is costly, frustrating, and preventable. By applying the techniques in this book, you can identify the warning signs of churn and learn to catch customers before they leave. About the book Fighting Churn with Data teaches developers and data scientists proven techniques for stopping churn before it happens. Packed with real-world use cases and examples, this book teaches you to convert raw data into measurable behavior metrics, calculate customer lifetime value, and improve churn forecasting with demographic data. By following Zuora Chief Data Scientist Carl Gold’s methods, you’ll reap the benefits of high customer retention. What's inside Calculating churn metrics Identifying user behavior that predicts churn Using churn reduction tactics with customer segmentation Applying churn analysis techniques to other business areas Using AI for accurate churn forecasting About the reader For readers with basic data analysis skills, including Python and SQL. About the author Carl Gold (PhD) is the Chief Data Scientist at Zuora, Inc., the industry-leading subscription management platform. Table of Contents: PART 1 - BUILDING YOUR ARSENAL 1 The world of churn 2 Measuring churn 3 Measuring customers 4 Observing renewal and churn PART 2 - WAGING THE WAR 5 Understanding churn and behavior with metrics 6 Relationships between customer behaviors 7 Segmenting customers with advanced metrics PART 3 - SPECIAL WEAPONS AND TACTICS 8 Forecasting churn 9 Forecast accuracy and machine learning 10 Churn demographics and firmographics 11 Leading the fight against churn
Download or read book Psychometrics written by R. Michael Furr and published by SAGE. This book was released on 2014 with total page 473 pages. Available in PDF, EPUB and Kindle. Book excerpt: In Psychometrics, R Michael Furr and Verne R Bacharach centre their presentation of material around a conceptual understanding of psychometric issues, such as validity and reliability, and on purpose rather than procedure, the ′why′ rather than the ′how to′. By emphasizing concepts over mathematical proofs and by focusing on practical significance, this book will assist students in appreciating not just how measurement problems can be addressed but why it is important to address them. The Second Edition has been thoroughly revised to improve the clarity and accessibility of key concepts and to increase the depth of discussions. Many new tables and figures have been added and the references have been significanly updated and expanded. An entirely new chapter on confirmatory factor analysis has also been added to this edition. This new chapter focuses on the use of CFA to evaluate measurement models, including in-depth discussion of the logic and interpretation of the process. Key features of this volume: - presents information in a clear, easy-to-read, conversational style: the authors introduce concepts in a way that is accessible to non-professionals without sacrificing the academic integrity of the material - highlights practical applications: intended to enhance readers′ appreciation of the importance of psychometrics, the book provides examples that will resonate with students - offers an up-to-date treatment of topics in psychometrics: the book offers readers the most contemporary views of topics in psychometrics available in the non-technical psychometric literature - introduces statistical procedures in the context of their use rather than in a separate chapter: the authors integrate statistics with a discussion of their use as tools to solve particular psychometric problems, encouraging a more complete understanding of both.
Download or read book Metric Learning written by Aurélien Muise and published by Springer Nature. This book was released on 2022-05-31 with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt: Similarity between objects plays an important role in both human cognitive processes and artificial systems for recognition and categorization. How to appropriately measure such similarities for a given task is crucial to the performance of many machine learning, pattern recognition and data mining methods. This book is devoted to metric learning, a set of techniques to automatically learn similarity and distance functions from data that has attracted a lot of interest in machine learning and related fields in the past ten years. In this book, we provide a thorough review of the metric learning literature that covers algorithms, theory and applications for both numerical and structured data. We first introduce relevant definitions and classic metric functions, as well as examples of their use in machine learning and data mining. We then review a wide range of metric learning algorithms, starting with the simple setting of linear distance and similarity learning. We show how one may scale-up these methods to very large amounts of training data. To go beyond the linear case, we discuss methods that learn nonlinear metrics or multiple linear metrics throughout the feature space, and review methods for more complex settings such as multi-task and semi-supervised learning. Although most of the existing work has focused on numerical data, we cover the literature on metric learning for structured data like strings, trees, graphs and time series. In the more technical part of the book, we present some recent statistical frameworks for analyzing the generalization performance in metric learning and derive results for some of the algorithms presented earlier. Finally, we illustrate the relevance of metric learning in real-world problems through a series of successful applications to computer vision, bioinformatics and information retrieval. Table of Contents: Introduction / Metrics / Properties of Metric Learning Algorithms / Linear Metric Learning / Nonlinear and Local Metric Learning / Metric Learning for Special Settings / Metric Learning for Structured Data / Generalization Guarantees for Metric Learning / Applications / Conclusion / Bibliography / Authors' Biographies
Book Synopsis Numerical Python by : Robert Johansson
Download or read book Numerical Python written by Robert Johansson and published by Apress. This book was released on 2015-10-07 with total page 505 pages. Available in PDF, EPUB and Kindle. Book excerpt: Numerical Python by Robert Johansson shows you how to leverage the numerical and mathematical modules in Python and its Standard Library as well as popular open source numerical Python packages like NumPy, FiPy, matplotlib and more to numerically compute solutions and mathematically model applications in a number of areas like big data, cloud computing, financial engineering, business management and more. After reading and using this book, you'll get some takeaway case study examples of applications that can be found in areas like business management, big data/cloud computing, financial engineering (i.e., options trading investment alternatives), and even games. Up until very recently, Python was mostly regarded as just a web scripting language. Well, computational scientists and engineers have recently discovered the flexibility and power of Python to do more. Big data analytics and cloud computing programmers are seeing Python's immense use. Financial engineers are also now employing Python in their work. Python seems to be evolving as a language that can even rival C++, Fortran, and Pascal/Delphi for numerical and mathematical computations.
