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The Seven Rules for Building Effective Analytical Models for Decisions

2016-04-13
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Release : 2016-04-13
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Kind : eBook
Book Rating : 264/5 ( reviews)

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Book Synopsis The Seven Rules for Building Effective Analytical Models for Decisions by : Frank Tillman

Download or read book The Seven Rules for Building Effective Analytical Models for Decisions written by Frank Tillman. This book was released on 2016-04-13. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Simple Rules

2015 Business & Economics
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Release : 2015
Genre : Business & Economics
Kind : eBook
Book Rating : 906/5 ( reviews)

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Book Synopsis Simple Rules by : Donald Norman Sull

Download or read book Simple Rules written by Donald Norman Sull. This book was released on 2015. Available in PDF, EPUB and Kindle. Book excerpt: Outlines an approach to high-performance problem solving and decision making that draws on insights from survival guides, pop culture, and other sources.

Interpretable Machine Learning

2020 Artificial intelligence
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Release : 2020
Genre : Artificial intelligence
Kind : eBook
Book Rating : 528/5 ( reviews)

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Book Synopsis Interpretable Machine Learning by : Christoph Molnar

Download or read book Interpretable Machine Learning written by Christoph Molnar. This book was released on 2020. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Implementing Analytics

2013-05-06 Computers
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Release : 2013-05-06
Genre : Computers
Kind : eBook
Book Rating : 812/5 ( reviews)

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Book Synopsis Implementing Analytics by : Nauman Sheikh

Download or read book Implementing Analytics written by Nauman Sheikh. This book was released on 2013-05-06. Available in PDF, EPUB and Kindle. Book excerpt: 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

EBOOK: Analytical Models for Decision-Making

2006-03-16 Medical
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Release : 2006-03-16
Genre : Medical
Kind : eBook
Book Rating : 732/5 ( reviews)

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Book Synopsis EBOOK: Analytical Models for Decision-Making by : Colin Sanderson

Download or read book EBOOK: Analytical Models for Decision-Making written by Colin Sanderson. This book was released on 2006-03-16. Available in PDF, EPUB and Kindle. Book excerpt: Health care systems are complex and, as a result, it is often unclear what the effects of changes in policy or service provision might be. At the same time, resources for health care tend to be in short supply, which means that public health practitioners have to make difficult decisions. This book describes the quantitative and qualitative methods that can help decision-makers to structure and clarify difficult problems and to explore the implications of pursuing different options. The accompanying CD ROM provides the opportunity to try out some of the proposed solutions. The book examines: Models and decision-making in health care Methods for clarifying complex decisions Models for service planning and resource allocation Modelling for evaluating changes in systems Series Editors: Rosalind Plowman and Nicki Thorogood.

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