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Author: Michael Heaney Publisher: Walter de Gruyter ISBN: 359822043X Category : Estadística bibliotecaria Languages : en Pages : 303
Book Description
The International Federation of Library Associations began a global statistics project in relation to worldwide libraries in 2006. The results are reported here from all over the world and there are several papers specifically on public libraries and university libraries.
Author: Michael Heaney Publisher: Walter de Gruyter ISBN: 359822043X Category : Estadística bibliotecaria Languages : en Pages : 303
Book Description
The International Federation of Library Associations began a global statistics project in relation to worldwide libraries in 2006. The results are reported here from all over the world and there are several papers specifically on public libraries and university libraries.
Author: Michael Heaney Publisher: Walter de Gruyter ISBN: 3598441673 Category : Language Arts & Disciplines Languages : en Pages : 302
Book Description
An international collaboration between IFLA, the UNESCO Institute of Statistics and the International Organization for Standardization (ISO) has developed standards for new library indicators for the twenty-first century. The existing international library statistics were developed nearly 40 years ago. This book presents the first results using the new statistics, and look forward to the next steps. It also contains other initiatives and developments in the fields of library statistics, benchmarking and indicators.
Author: Gareth James Publisher: Springer Nature ISBN: 3031387473 Category : Mathematics Languages : en Pages : 617
Book Description
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 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.
Author: David Diez Publisher: ISBN: 9781943450046 Category : Languages : en Pages :
Book Description
The OpenIntro project was founded in 2009 to improve the quality and availability of education by producing exceptional books and teaching tools that are free to use and easy to modify. We feature real data whenever possible, and files for the entire textbook are freely available at openintro.org. Visit our website, openintro.org. We provide free videos, statistical software labs, lecture slides, course management tools, and many other helpful resources.
Author: Michael Heaney
Author: United States. Office of Education
Author: Association of Research Libraries
Author: Michael Heaney
Author: Michael Heaney
Author: Gareth James
Author: David Diez
Author: United States. Office of Education
Author: United States. Bureau of the Census. Governments Division
Author: National Center for Education Statistics
Author: National Center for Educational Statistics