Author:
Publisher: CESAR PEREZ
ISBN: 1716958547
Category : Business & Economics
Languages : en
Pages : 192
Book Description
En este libro se tratan las fases de Análisis, Interpretación y Validación de la Ciencia de Datos, profundizando en las técnicas de modelización predictiva a través de los modelos causales. Se incide en el estudio de la familia más general de los modelos causales o modelos en ecuaciones estructurales, que incluyen los modelos de regresión, los modelos con errores medida y los modelos multiecuacionales. Se estudiarán los modelos de análisis confirmatorio y el modelo completo de estructura de la covarianza a través de las etapas de especificación, identificación, estimación y diagnosis. Todas estas técnicas se ilustrarán con ejemplos significativos que serán resueltos utilizando el software más actual y habitual para trabajar con modelos causales como es SAS.
CIENCIA DE DATOS. MODELOS CAUSALES
Author:
Publisher: CESAR PEREZ
ISBN: 1716958547
Category : Business & Economics
Languages : en
Pages : 192
Book Description
En este libro se tratan las fases de Análisis, Interpretación y Validación de la Ciencia de Datos, profundizando en las técnicas de modelización predictiva a través de los modelos causales. Se incide en el estudio de la familia más general de los modelos causales o modelos en ecuaciones estructurales, que incluyen los modelos de regresión, los modelos con errores medida y los modelos multiecuacionales. Se estudiarán los modelos de análisis confirmatorio y el modelo completo de estructura de la covarianza a través de las etapas de especificación, identificación, estimación y diagnosis. Todas estas técnicas se ilustrarán con ejemplos significativos que serán resueltos utilizando el software más actual y habitual para trabajar con modelos causales como es SAS.
Publisher: CESAR PEREZ
ISBN: 1716958547
Category : Business & Economics
Languages : en
Pages : 192
Book Description
En este libro se tratan las fases de Análisis, Interpretación y Validación de la Ciencia de Datos, profundizando en las técnicas de modelización predictiva a través de los modelos causales. Se incide en el estudio de la familia más general de los modelos causales o modelos en ecuaciones estructurales, que incluyen los modelos de regresión, los modelos con errores medida y los modelos multiecuacionales. Se estudiarán los modelos de análisis confirmatorio y el modelo completo de estructura de la covarianza a través de las etapas de especificación, identificación, estimación y diagnosis. Todas estas técnicas se ilustrarán con ejemplos significativos que serán resueltos utilizando el software más actual y habitual para trabajar con modelos causales como es SAS.
Gestión de datos de investigación
Author: Couto Corrêa, Fabiano
Publisher: Editorial UOC
ISBN: 8491164324
Category : Science
Languages : en
Pages : 156
Book Description
Publisher: Editorial UOC
ISBN: 8491164324
Category : Science
Languages : en
Pages : 156
Book Description
National Library of Medicine Audiovisuals Catalog
Author: National Library of Medicine (U.S.)
Publisher:
ISBN:
Category : Health education
Languages : en
Pages : 564
Book Description
Publisher:
ISBN:
Category : Health education
Languages : en
Pages : 564
Book Description
Author:
Publisher: Editorial Ink
ISBN:
Category :
Languages : en
Pages : 331
Book Description
Publisher: Editorial Ink
ISBN:
Category :
Languages : en
Pages : 331
Book Description
Catalogue of Accessioned Publications
Author: World Data Center A--Oceanography
Publisher:
ISBN:
Category : Oceanography
Languages : en
Pages : 194
Book Description
Publisher:
ISBN:
Category : Oceanography
Languages : en
Pages : 194
Book Description
Computer Science – CACIC 2020
Author: Patricia Pesado
Publisher: Springer Nature
ISBN: 3030758362
Category : Computers
Languages : en
Pages : 366
Book Description
This book constitutes revised selected papers from the 26th Argentine Congress on Computer Science, CACIC 2020, held in San Justo, Buenos Aires, Argentina in October 2020. Due to the COVID-19 pandemic the conference was held in a virtual mode. The 21 full papers and 3 short papers presented in this volume were carefully reviewed and selected from a total of 118 submissions. They were organized in topical sections named: intelligent agents and systems; distributed and parallel processing; computer technology applied to education; graphic computation, images and visualization; software engineering; databases and data mining; hardware architectures, networks, and operating systems; innovation in software systems; signal processing and real-time systems; innovation in computer science education; computer security; and digital governance and smart cities.
Publisher: Springer Nature
ISBN: 3030758362
Category : Computers
Languages : en
Pages : 366
Book Description
This book constitutes revised selected papers from the 26th Argentine Congress on Computer Science, CACIC 2020, held in San Justo, Buenos Aires, Argentina in October 2020. Due to the COVID-19 pandemic the conference was held in a virtual mode. The 21 full papers and 3 short papers presented in this volume were carefully reviewed and selected from a total of 118 submissions. They were organized in topical sections named: intelligent agents and systems; distributed and parallel processing; computer technology applied to education; graphic computation, images and visualization; software engineering; databases and data mining; hardware architectures, networks, and operating systems; innovation in software systems; signal processing and real-time systems; innovation in computer science education; computer security; and digital governance and smart cities.
R for Data Science
Author: Hadley Wickham
Publisher: "O'Reilly Media, Inc."
ISBN: 1491910364
Category : Computers
Languages : en
Pages : 521
Book Description
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results
Publisher: "O'Reilly Media, Inc."
ISBN: 1491910364
Category : Computers
Languages : en
Pages : 521
Book Description
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results
Big data
Author: Patricia Fernández, Eva (coord.)
Publisher: Editorial UOC
ISBN: 8491164146
Category : Computers
Languages : en
Pages : 94
Book Description
El big data, entendido como la gestión y el almacenamiento masivo de datos, es una tendencia por explotar a día de hoy. La industria audiovisual, consciente de ello, empieza a orientar estrategias de negocio con ideas de personalización de contenidos, segmentación de perfiles o predicción de tendencias. Comprender todas las posibilidades que nos ofrece el big data supone entender las dinámicas internas del negocio, así como las fuentes de datos de las que podemos extraer información y la interacción que podemos realizar con ellas. Y también nos permite formular mejores preguntas y tomar decisiones acertadas. Este libro ofrece un recorrido por el proceso de gestión de datos en la empresa, con introducción de explicaciones técnicas y especial atención a la toma de decisiones del business intelligence.
Publisher: Editorial UOC
ISBN: 8491164146
Category : Computers
Languages : en
Pages : 94
Book Description
El big data, entendido como la gestión y el almacenamiento masivo de datos, es una tendencia por explotar a día de hoy. La industria audiovisual, consciente de ello, empieza a orientar estrategias de negocio con ideas de personalización de contenidos, segmentación de perfiles o predicción de tendencias. Comprender todas las posibilidades que nos ofrece el big data supone entender las dinámicas internas del negocio, así como las fuentes de datos de las que podemos extraer información y la interacción que podemos realizar con ellas. Y también nos permite formular mejores preguntas y tomar decisiones acertadas. Este libro ofrece un recorrido por el proceso de gestión de datos en la empresa, con introducción de explicaciones técnicas y especial atención a la toma de decisiones del business intelligence.
National Library of Medicine Current Catalog
Author: National Library of Medicine (U.S.)
Publisher:
ISBN:
Category : Medicine
Languages : en
Pages : 1068
Book Description
Publisher:
ISBN:
Category : Medicine
Languages : en
Pages : 1068
Book Description
New Organic Architecture
Author: David Pearson
Publisher:
ISBN: 9780520232884
Category : Nature (Aesthetics)
Languages : en
Pages : 1308
Book Description
New Organic Architecture is a manifesto for building in a way that is both aesthetically pleasing and kinder to the environment. It illuminates key themes of organic architects, their sources of inspiration, the roots and concepts behind the style, and the environmental challenges to be met. The organic approach to architecture has an illustrious history, from Celtic design, Art Nouveau, Arts and Crafts, to the work of Antoni Gaud� and Frank Lloyd Wright. Today there is a response to a new age of information and ecology; architects are seeking to change the relationship between buildings and the natural environment. In the first part of his book, David Pearson provides a history and assessment of organic architecture. The second part comprises statements from thirty architects from around the world whose work is based on natural or curvilinear forms rather than the straight-line geometrics of modernism. Each statement is accompanied by full-color illustrations of one or several of the architects' built projects.
Publisher:
ISBN: 9780520232884
Category : Nature (Aesthetics)
Languages : en
Pages : 1308
Book Description
New Organic Architecture is a manifesto for building in a way that is both aesthetically pleasing and kinder to the environment. It illuminates key themes of organic architects, their sources of inspiration, the roots and concepts behind the style, and the environmental challenges to be met. The organic approach to architecture has an illustrious history, from Celtic design, Art Nouveau, Arts and Crafts, to the work of Antoni Gaud� and Frank Lloyd Wright. Today there is a response to a new age of information and ecology; architects are seeking to change the relationship between buildings and the natural environment. In the first part of his book, David Pearson provides a history and assessment of organic architecture. The second part comprises statements from thirty architects from around the world whose work is based on natural or curvilinear forms rather than the straight-line geometrics of modernism. Each statement is accompanied by full-color illustrations of one or several of the architects' built projects.