The Seven Rules For Building Effective Analytical Models For Decisions PDF Download
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| Author | : Frank Tillman |
| Publisher | : Htx, Incorporated |
| Total Pages | : 38 |
| Release | : 2016-04-13 |
| Genre | : |
| ISBN | : 9780692788264 |
Download The Seven Rules for Building Effective Analytical Models for Decisions Book in PDF, ePub and Kindle
Through years of consulting, operating their own companies, and working in a number of corporate environments, the authors have developed insights into which methods work and which do not in the "real world." The result of this experience is the development of these fundamental rules for building analysis models to solve complex corporate problems. This book describes some common-sense principles that can be used to ensure that the models and solutions that are developed meet the decision maker's needs. These principles will help you avoid mistakes and help you develop better usable solutions.
| Author | : Nauman Sheikh |
| Publisher | : Newnes |
| Total Pages | : 234 |
| Release | : 2013-05-06 |
| Genre | : Computers |
| ISBN | : 0124016812 |
Download Implementing Analytics Book in PDF, ePub and Kindle
Implementing Analytics demystifies the concept, technology and application of analytics and breaks its implementation down to repeatable and manageable steps, making it possible for widespread adoption across all functions of an organization. Implementing Analytics simplifies and helps democratize a very specialized discipline to foster business efficiency and innovation without investing in multi-million dollar technology and manpower. A technology agnostic methodology that breaks down complex tasks like model design and tuning and emphasizes business decisions rather than the technology behind analytics. Simplifies the understanding of analytics from a technical and functional perspective and shows a wide array of problems that can be tackled using existing technology Provides a detailed step by step approach to identify opportunities, extract requirements, design variables and build and test models. It further explains the business decision strategies to use analytics models and provides an overview for governance and tuning Helps formalize analytics projects from staffing, technology and implementation perspectives Emphasizes machine learning and data mining over statistics and shows how the role of a Data Scientist can be broken down and still deliver the value by building a robust development process
| Author | : Reiner Huber |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 350 |
| Release | : 2013-11-11 |
| Genre | : Business & Economics |
| ISBN | : 1475709587 |
Download Military Strategy and Tactics Book in PDF, ePub and Kindle
This volume brings forth a set of selected papers from the Conference on Modeling Land Sattle Systems for Military Planning. Sponsored by the Special Programme Panel on Systems Science of the NATO Science Committee, the conference took place in Ottobrunn, Germany, at the War Gaming Centre of Industrieanlagen-Betriebsgesellschaft. The idea to organize a conference on land battle systemmodelswas first suggested to me in 1g72 by Andreas Mortensen, then a member of the Norwegian Defence Research Establishment and presently at the SHAPE Technical Centre, when we discussed the apparent inconsistencies of various evaluations of force capability within NATO. Frequently, decision makers are confronted by contradictory results of different studies addressing essentially the same problern leaving them with the impression that the tools of systems analysis and operations research may not be very objective guides. However, experienced systems researchers know that a detailed comparison of models, their assumptions and inputs, would generally show that results are not really contradictory. But not only seem the decision processes in large national and international organizations tobe suchthat a comparison can hardly ever be accomplished, also the docu mentation available is rarely sufficient to really camprehend the differences in results. For these reasons, we felt that an effort to review the state of the art of model ing in support of force capabil ity assessments was overdue.
| Author | : Christoph Molnar |
| Publisher | : Lulu.com |
| Total Pages | : 320 |
| Release | : 2020 |
| Genre | : Artificial intelligence |
| ISBN | : 0244768528 |
Download Interpretable Machine Learning Book in PDF, ePub and Kindle
This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.
| Author | : Daniel J. Power |
| Publisher | : Business Expert Press |
| Total Pages | : 160 |
| Release | : 2013-01-11 |
| Genre | : Computers |
| ISBN | : 1606496190 |
Download Decision Support, Analytics, and Business Intelligence, Second Edition Book in PDF, ePub and Kindle
Competition is becoming more intense and decision makers are encountering increasing complexity, rapid change, and higher levels of risk. In many situations, the solution is more and better computerized decision support, especially analytics and business intelligence. Today managers need to learn about and understand computerized decision support. If a business is to succeed, managers must know much more about information technology solutions. This second edition of a powerful introductory book is targeted at busy managers and MBA students who need to grasp the basics of computerized decision support, including the following: What are analytics? What is a decision support system? How can managers identify opportunities to create innovative computerized support? Inside, the author addresses these questions and some 60 more fundamental questions that are key to understanding the rapidly changing realm of computerized decision support. In a short period of time, you’ll “get up to speed” on decision support, analytics, and business intelligence.
| Author | : José Figueira |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 1100 |
| Release | : 2005 |
| Genre | : Business & Economics |
| ISBN | : 9780387230672 |
Download Multiple Criteria Decision Analysis: State of the Art Surveys Book in PDF, ePub and Kindle
MULTIPLE CRITERIA DECISION ANALYSIS: State of the Art Surveys is the most comprehensive work available to survey the state of the art in MCDA to date. Its 25 chapters are organized in eight parts and are written by 52 international leading experts. Each of these parts covers one of the central streams of multiple criteria decision analysis literature. These literature streams are: MCDA today, Foundations of MCDA, Our Ranking Methods, Multiattribute Utility Theory, Non-Classical MCDA Approaches, Multiobjective Mathematical Programming, Applications, and MCDM Software. The handbook presents the most up-to-date discussions on well-established methodologies and theories in the field, while systematically surveying emerging fields in MCDA such as conjoint measurement, fuzzy preferences, fuzzy integrals, rough sets, etc. MULTIPLE CRITERIA DECISION ANALYSIS: State of the Art Surveys is a valuable reference volume (more than 2000 references) for the field of decision analysis. It provides graduate students, researchers, and practitioners with a sweeping survey of MCDA theory, methodologies, and applications. It is a handbook that is particularly suitable for use in seminars in Decision Analysis, Decision Support, and Decision Theory.
| Author | : Gary D. Miner |
| Publisher | : Academic Press |
| Total Pages | : 1111 |
| Release | : 2014-09-27 |
| Genre | : Computers |
| ISBN | : 012411640X |
Download Practical Predictive Analytics and Decisioning Systems for Medicine Book in PDF, ePub and Kindle
With the advent of electronic medical records years ago and the increasing capabilities of computers, our healthcare systems are sitting on growing mountains of data. Not only does the data grow from patient volume but the type of data we store is also growing exponentially. Practical Predictive Analytics and Decisioning Systems for Medicine provides research tools to analyze these large amounts of data and addresses some of the most pressing issues and challenges where data integrity is compromised: patient safety, patient communication, and patient information. Through the use of predictive analytic models and applications, this book is an invaluable resource to predict more accurate outcomes to help improve quality care in the healthcare and medical industries in the most cost–efficient manner.Practical Predictive Analytics and Decisioning Systems for Medicine provides the basics of predictive analytics for those new to the area and focuses on general philosophy and activities in the healthcare and medical system. It explains why predictive models are important, and how they can be applied to the predictive analysis process in order to solve real industry problems. Researchers need this valuable resource to improve data analysis skills and make more accurate and cost-effective decisions. Includes models and applications of predictive analytics why they are important and how they can be used in healthcare and medical research Provides real world step-by-step tutorials to help beginners understand how the predictive analytic processes works and to successfully do the computations Demonstrates methods to help sort through data to make better observations and allow you to make better predictions
| Author | : Michael G. Solomon |
| Publisher | : John Wiley & Sons |
| Total Pages | : 352 |
| Release | : 2020-09-02 |
| Genre | : Computers |
| ISBN | : 1119651786 |
Download Blockchain Data Analytics For Dummies Book in PDF, ePub and Kindle
Get ahead of the curve—learn about big data on the blockchain Blockchain came to prominence as the disruptive technology that made cryptocurrencies work. Now, data pros are using blockchain technology for faster real-time analysis, better data security, and more accurate predictions. Blockchain Data Analytics For Dummies is your quick-start guide to harnessing the potential of blockchain. Inside this book, technologists, executives, and data managers will find information and inspiration to adopt blockchain as a big data tool. Blockchain expert Michael G. Solomon shares his insight on what the blockchain is and how this new tech is poised to disrupt data. Set your organization on the cutting edge of analytics, before your competitors get there! Learn how blockchain technologies work and how they can integrate with big data Discover the power and potential of blockchain analytics Establish data models and quickly mine for insights and results Create data visualizations from blockchain analysis Discover how blockchains are disrupting the data world with this exciting title in the trusted For Dummies line!
| Author | : |
| Publisher | : |
| Total Pages | : 1828 |
| Release | : 2000 |
| Genre | : Medicine |
| ISBN | : |
Download Cumulated Index Medicus Book in PDF, ePub and Kindle
| Author | : Bilal M. Ayyub |
| Publisher | : CRC Press |
| Total Pages | : 534 |
| Release | : 1997-12-29 |
| Genre | : Technology & Engineering |
| ISBN | : 9780849331084 |
Download Uncertainty Modeling and Analysis in Civil Engineering Book in PDF, ePub and Kindle
With the expansion of new technologies, materials, and the design of complex systems, the expectations of society upon engineers are becoming larger than ever. Engineers make critical decisions with potentially high adverse consequences. The current political, societal, and financial climate requires engineers to formally consider the factors of uncertainty (e.g., floods, earthquakes, winds, environmental risks) in their decisions at all levels. Uncertainty Modeling and Analysis in Civil Engineering provides a thorough report on the immediate state of uncertainty modeling and analytical methods for civil engineering systems, presenting a toolbox for solving problems in real-world situations. Topics include Neural networks Genetic algorithms Numerical modeling Fuzzy sets and operations Reliability and risk analysis Systems control Uncertainty in probability estimates This compendium is a considerable reference for civil engineers as well as for engineers in other disciplines, computer scientists, general scientists, and students.
