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1. |
Record Nr. |
UNINA9910734891903321 |
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Autore |
James Gareth <1936-> |
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Titolo |
An Introduction to Statistical Learning : with Applications in Python / / by Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani, Jonathan Taylor |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
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ISBN |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (617 pages) |
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Collana |
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Springer Texts in Statistics, , 2197-4136 |
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Disciplina |
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Soggetti |
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Statistics |
Mathematical statistics - Data processing |
Statistical Theory and Methods |
Statistics and Computing |
Applied Statistics |
Estadística matemàtica |
Models matemàtics |
Python (Llenguatge de programació) |
Llibres electrònics |
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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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Note generali |
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Nota di contenuto |
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Introduction -- Statistical Learning -- Linear Regression -- Classification -- Resampling Methods -- Linear Model Selection and Regularization -- Moving Beyond Linearity -- Tree-Based Methods -- Support Vector Machines -- Deep Learning -- Survival Analysis and Censored data -- Unsupervised Learning -- Multiple Testing -- Index. |
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Sommario/riassunto |
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An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage |
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approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical learning techniques to analyze their data. Four of the authors co-wrote An Introduction to Statistical Learning, With Applications in R (ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. However, in recent years Python has become a popular language for data science, and there has been increasing demand for a Python-based alternative to ISLR. Hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users. |
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2. |
Record Nr. |
UNINA9910557781103321 |
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Autore |
Kumar Ashok |
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Titolo |
Neuroinflammation and Cognition |
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Pubbl/distr/stampa |
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Descrizione fisica |
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1 online resource (191 p.) |
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Collana |
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Frontiers Research Topics |
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Soggetti |
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Neurosciences |
Science: general issues |
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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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This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions |
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from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact |
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3. |
Record Nr. |
UNINA9910299444603321 |
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Autore |
Gonçalves Veiga Linda |
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Titolo |
Intergovernmental Fiscal Relations : Questions of Accountability and Autonomy / / by Linda Gonçalves Veiga, Mathew Kurian, Reza Ardakanian |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
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ISBN |
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Edizione |
[1st ed. 2015.] |
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Descrizione fisica |
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1 online resource (79 p.) |
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Collana |
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SpringerBriefs in Environmental Science, , 2191-5547 |
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Disciplina |
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Soggetti |
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Sustainable development |
Remote sensing |
Agriculture |
Ecology |
System theory |
Sustainable Development |
Remote Sensing/Photogrammetry |
Environment, general |
Complex Systems |
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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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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references at the end of each chapters. |
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Nota di contenuto |
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PART I: Trends in Financing of Public Services -- 1. Government Intervention in the Economy -- 2. Multi-Level System of Government -- 3. Worldwide Trends in Decentralization -- PART II: Public Budgets: Governance Structures, Norms and Organizational Practices -- 1. Budget Basics -- 2. Expenditure Responsibilities -- 3. Subnational |
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Governments’ Fiscal Autonomy -- 4. Debt -- PART III: Issues of Accountability and Policy Outcomes - Key Lessons From Recent International Experience -- 1. Accountability, Governance and Public Expenditure Efficiency -- 2. Decentralization and Local Accountability -- 3. Decentralization and Governance -- 4. Accountability, Governance and Policy Outcomes. |
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Sommario/riassunto |
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This book examines and analyzes issues related to public finance in subnational governments, along with a discussion of case studies on decentralization. Most of the analysis applies to all public goods and services provided by subnational governments, with some placed on the role of subnational governments in the management of environmental resources, notably water and waste Coverage includes optimal arrangements for sharing fiscal responsibilities among different levels of government, the potential impact of decentralization on the quality of public goods delivery, local governments’ expenditure and revenue choices, and the effect of decentralization on accountability, governance and policy outcomes. The scope of discussion extends to both public finance theory and applied policy debates. The first chapter, on trends in financing of public services, opens with an explanation of the how and why of government intervention in the economy, the nature and purposes of transfers between and among governments and trends in decentralization. Case studies examine the impact of decentralization in such areas as service delivery, water and sanitation, education and health, and on poverty and income inequality. Chapter 2 examines public budgets: governance structures, norms and organizational practices, building up understanding of budgets, budget cycles, fiscal revenues from fees and taxes, expenses, debt and political economy issues, rules mandating balanced budgets in government and more. Chapter 3 discusses issues of accountability and policy outcomes, offering important lessons from recent international experience, including ways to strengthen political, administrative and financial accountability. The concluding chapter recounts lessons from recent international experience and surveys implications for the nexus approach to management of environmental resources. The information, analysis and expert advice presented here is particularly relevant for developing and emerging countries, where well designed decentralization reforms have a higher potential to improve efficiency in the provision of public services, and to enhance the development of integrated and sustainable strategies for the use of water, soil and waste resources and applications that advance the nexus approach. |
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