Precision Tree
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Precision Tree
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Author :
language : en
Publisher:
Release Date : 2000
Precision Tree written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Decision making categories.
Precision Tree
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Author :
language : en
Publisher:
Release Date : 1997
Precision Tree written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with categories.
Project Valuation And Decision Making Under Risk And Uncertainty Applying Decision Tree Analysis And Monte Carlo Simulation
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Author : Donald Dibra
language : en
Publisher: BoD – Books on Demand
Release Date : 2015-04-28
Project Valuation And Decision Making Under Risk And Uncertainty Applying Decision Tree Analysis And Monte Carlo Simulation written by Donald Dibra and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-28 with Business & Economics categories.
This work presents the application of the Monte Carlo Simulation method and the Decision Tree Analysis approach when dealing with the economic valuation of projects which are subjected to risks and uncertainties. The Net Present Value of a project is usually used as an investment decision parameter. Using deterministic models to calculate a project’s Net Present Value neglects the risky and uncertain nature of real life projects and consequently leads to useless valuation results. Realistic valuation models need to use probability density distributions for the input parameters and certain probabilities for the occurrence of specific events during the life time of a project in combination with the Monte Carlo Simulation method and the Decision Tree Analysis approach. After a short introduction a brief explanation of the traditional project valuation methods is given. The main focus of this work lies in using the Net Present Value method as a basic valuation tool in conjunction with the Monte Carlo Simulation technique and the Decision Tree Analysis approach to form a comprehensive method for project valuation under risk and uncertainty. The extensive project valuation methodology introduced is applied on two fictional projects, one from the pharmaceutical sector and one from the oil and gas exploration and production industry. Both industries deal with high risks, high uncertainties and high costs, but also high rewards. The example from the pharmaceutical industry illustrates very well how the application of the Monte Carlo Simulation and Decision Tree Analysis method, results in a well-diversified portfolio of new drugs with the highest reward at minimum possible risk. Applying the presented probabilistic project valuation approach on the oil exploration and production project shows how to reduce the risk of losing big.
Interpretable Machine Learning
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Author : Christoph Molnar
language : en
Publisher: Lulu.com
Release Date : 2020
Interpretable Machine Learning written by Christoph Molnar and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Artificial intelligence categories.
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.
Application Of Decision Tree For Developing Accurate Prediction Models
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Author : Dr. Pratibha Vijay Jadhav & Dr. Vaishali Vilas Patil
language : en
Publisher: Ashok Yakkaldevi
Release Date : 2022-06-22
Application Of Decision Tree For Developing Accurate Prediction Models written by Dr. Pratibha Vijay Jadhav & Dr. Vaishali Vilas Patil and has been published by Ashok Yakkaldevi this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-22 with Art categories.
Today’s world is bounded by data, from morning to night each and all work is associated to data. The usage of computer and its technology is rapidly growing in many different fields like Education, banking sector, bioinformatics field, business, health cares and Industry. In all ways, everywhere data is created and this information is stored in various hubs or data wares houses. There is huge amount of data and it is created by increasing usage of computer. There is rapidly growth of data generated by all systems and it can be used for deriving models by assessing useful relationship among input and output dependencies. Consequently, there is presently shifted a model since classical modelling and it investigates to develop a model and the equivalent analyses from stored data. Government organizations, scientific institutions, administration offices and businesses have all dedicated huge resources to assembly and putting away information. Now a days, Data can possibly assist organizations with improving tasks and make quicker, progressively powerful decisions. The information or data is gathered from various sources including messages, cell phones, applications, databases, servers and different methods. This information is collected, arranged, controlled and put in meaningful information. This meaningful information would assist to an organization with valuable understanding to hold the clients for expand the income and improved the business activities. The government organizations and companies are gathering the useful information to support to manage human resources.
Precision Nutrition
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Author : David Heber
language : en
Publisher: Elsevier
Release Date : 2023-10-20
Precision Nutrition written by David Heber and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-20 with Technology & Engineering categories.
Precision Nutrition: The Science and Promise of Personalized Nutrition and Health organizes and integrates information on the diverse special areas of scientific expertise involved in Precision Nutrition in order to inform health professionals and inspire researchers to advance this field while applying the general principles into health care and medical research now. Broken into three sections, this book addresses the fundamentals of precision nutrition, applications of precision nutrition in health and disease, and the future directions of precision nutrition. Nutrition scientists, geneticists, physicians, dietitians, postdoctoral fellows, and epidemiologists seeking to understand Precision Nutrition will benefit from this timely reference. . Applies precision nutrition to diet and lifestyle conditions, including heart disease, diabetes and cancer Identifies future aspects of precision nutrition utilizing AI, machine learning and superfast computers Outlines promising areas of research
Value Added Decision Making For Managers
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Author : Kenneth Chelst
language : en
Publisher: CRC Press
Release Date : 2011-10-05
Value Added Decision Making For Managers written by Kenneth Chelst and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-10-05 with Business & Economics categories.
Developed from the authors’ longstanding course on decision and risk analysis, Value-Added Decision Making for Managers explores the important interaction between decisions and management action and clarifies the barriers to rational decision making. The authors analyze strengths and weaknesses of the best alternatives, enabling decision makers to improve on these alternatives by adding value and reducing risk. The core of the text addresses decisions that involve selecting the best alternative from diverse choices. The decisions include buying a car, picking a supplier or home contractor, selecting a technology, picking a location for a manufacturing plant or sports stadium, hiring an employee or selecting among job offers, deciding on the size of a sales force, making a late design change, and sourcing to emerging markets. The book also covers more complex decisions arising in negotiations, strategy, and ethics that involve multiple dimensions simultaneously. Numerous activities interspersed throughout the text highlight real-world situations, helping readers see how the concepts presented can be used in their own work environment or personal life. Each chapter also includes discussion questions and references. Web Resource The book’s website at http://ise.wayne.edu/research/decision.php offers tutorials of Logical Decisions software for multi-objective decisions and Precision Tree software for probabilistic decisions. Directions for downloading student versions of the DecisionTools Suite and Logical Decisions software can be found in the appendices. Password-protected PowerPoint presentations for each chapter and solutions to all of the numeric examples are available for instructors.
Intelligent Robots And Drones For Precision Agriculture
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Author : Sundaravadivazhagan Balasubaramanian
language : en
Publisher: Springer Nature
Release Date :
Intelligent Robots And Drones For Precision Agriculture written by Sundaravadivazhagan Balasubaramanian and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Recent Advances In Big Data Machine And Deep Learning For Precision Agriculture
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Author : Muhammad Fazal Ijaz
language : en
Publisher: Frontiers Media SA
Release Date : 2024-02-19
Recent Advances In Big Data Machine And Deep Learning For Precision Agriculture written by Muhammad Fazal Ijaz and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-19 with Science categories.
Artificial Intelligence And Precision Oncology
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Author : Zodwa Dlamini
language : en
Publisher: Springer Nature
Release Date : 2023-01-21
Artificial Intelligence And Precision Oncology written by Zodwa Dlamini and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-21 with Medical categories.
This book highlights the use of artificial intelligence (AI), big data and precision oncology for medical decision making in cancer screening, diagnosis, prognosis and treatment. Precision oncology has long been thought of as ideal for the management and treatment of cancer. This strategy promises to revolutionize the treatment, control, and prevention of cancer by tailoring tests, treatments and predictions to specific individuals or population groups. In order to accomplish these goals, vast amounts of patient or population group specific data needs to be integrated and analysed to be able to identify key patterns or features which can be used to define or characterize the disease or the response to the disease in these individuals. These patterns or features can be as varied as molecular patterns or features in medical images. This level of data analysis and integration can only be achieved through the use of AI. The book is divided into three parts starting with a section on the use of artificial intelligence for screening, diagnosis and monitoring in precision oncology. The second part: Artificial intelligence and Omics in precision oncology, highlights the use of AI and epigenetics, metabolomics, microbiomics in precision oncology. The third part covers artificial intelligence in cancer therapy and its clinical applications. It also highlights the use of AI tools for risk prediction, early detection, diagnosis and accurate prognosis. This book, written by experts in the field from academia and industry, will appeal to cancer researchers, clinical oncologists, pathologists, medical students, academic teaching staff and medical residents interested in cancer research as well as those specialising as clinical oncologists.