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1. |
Record Nr. |
UNINA9910495190603321 |
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Autore |
Suzuki Joe |
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Titolo |
Sparse estimation with math and R : 100 exercises for building logic / / Joe Suzuki |
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Pubbl/distr/stampa |
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Singapore : , : Springer, , [2021] |
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©2021 |
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ISBN |
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Edizione |
[1st ed. 2021.] |
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Descrizione fisica |
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1 online resource (X, 234 p. 54 illus., 46 illus. in color.) |
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Disciplina |
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Soggetti |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Chapter 1: Linear Regression -- Chapter 2: Generalized Linear Regression -- Chapter 3: Group Lasso -- Chapter 4: Fused Lasso -- Chapter 5: Graphical Model -- Chapter 6: Matrix Decomposition -- Chapter 7: Multivariate Analysis. |
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Sommario/riassunto |
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The most crucial ability for machine learning and data science is mathematical logic for grasping their essence rather than knowledge and experience. This textbook approaches the essence of sparse estimation by considering math problems and building R programs. Each chapter introduces the notion of sparsity and provides procedures followed by mathematical derivations and source programs with examples of execution. To maximize readers’ insights into sparsity, mathematical proofs are presented for almost all propositions, and programs are described without depending on any packages. The book is carefully organized to provide the solutions to the exercises in each chapter so that readers can solve the total of 100 exercises by simply following the contents of each chapter. This textbook is suitable for an undergraduate or graduate course consisting of about 15 lectures (90 mins each). Written in an easy-to-follow and self-contained style, this book will also be perfect material for independent learning by data scientists, machine learning engineers, and researchers interested in linear regression, generalized linear lasso, group lasso, fused lasso, graphical models, matrix decomposition, and multivariate analysis. |
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2. |
Record Nr. |
UNINA9910820566703321 |
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Titolo |
Small-scale water supplies in the pan-European region : background, challenges, improvements / / by World Health Organization |
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Pubbl/distr/stampa |
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London, England : , : World Health Organization, , [2013] |
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©2013 |
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ISBN |
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Descrizione fisica |
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1 online resource (54 pages) |
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Disciplina |
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Soggetti |
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Water-supply - Europe |
Water quality management - Europe |
Water - Purification - Europe |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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The provision of safe acceptable and sufficient drinking-water is a crucial prerequisite for human well-being. Small-scale water supplies are the backbone of water supply in rural areas in the entire pan-European region. Yet experience shows that they find such provision a challenge for administrative managerial operational and resourcing reasons. This publication is intended to help decision-makers such as policy-makers or regulators in the drinking-water sector to appreciate better and address the particularities and characteristics of small-scale water supplies. It provides a range of background information case studies and lessons learned and ideas for addressing the issues in national programmes. Information for further reading as well as international networking activities is also provided. This publication was developed by the German Federal Environment Agency a WHO Collaborating Centre for Research on Drinking Water Hygiene in cooperation with the WHO Regional Office for Europe and the United Nations Economic Commission for Europe. |
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