Data Scientist Y Lenguaje R
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Data Scientist Y Lenguaje R
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Author : Eva Laude
language : es
Publisher:
Release Date : 2022
Data Scientist Y Lenguaje R written by Eva Laude and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.
Data Scientist Y Lenguaje R
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Author :
language : es
Publisher:
Release Date :
Data Scientist Y Lenguaje R written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Data Scientist Y Lenguaje R Gu A De Autoformaci N Para El Uso De Big Data
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Author : Henri Laude
language : es
Publisher:
Release Date : 2017
Data Scientist Y Lenguaje R Gu A De Autoformaci N Para El Uso De Big Data written by Henri Laude and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with categories.
R For Data Science
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Author : Hadley Wickham
language : en
Publisher: O'Reilly Media
Release Date : 2023-10-03
R For Data Science written by Hadley Wickham and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-03 with Computers categories.
Learn how to use R to turn data into insight, knowledge, and understanding. Ideal for current and aspiring data scientists, this book introduces you to doing data science with R and RStudio, as well as the tidyverse--a collection of R packages designed to work together to make data science fast, fluent, and fun. Even if you have no programming experience, this updated edition will have you doing data science quickly. You'll learn how to import, transform, and visualize your data and communicate the results. And you'll get a complete, big-picture understanding of the data science cycle and the basic tools you need to manage the details. Each section in this edition includes exercises to help you practice what you've learned along the way. Updated for the latest tidyverse best practices, new chapters dive deeper into visualization and data wrangling, show you how to get data from spreadsheets, databases, and websites, and help you make the most of new programming tools. You'll learn how to: Visualize-create plots for data exploration and communication of results Transform-discover types of variables and the tools you can use to work with them Import-get data into R and in a form convenient for analysis Program-learn R tools for solving data problems with greater clarity and ease Communicate-integrate prose, code, and results with Quarto
Medical Informatics And Data Analysis
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Author : Pentti Nieminen
language : en
Publisher: MDPI
Release Date : 2021-03-02
Medical Informatics And Data Analysis written by Pentti Nieminen and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-02 with Medical categories.
During recent years, the use of advanced data analysis methods has increased in clinical and epidemiological research. This book emphasizes the practical aspects of new data analysis methods, and provides insight into new challenges in biostatistics, epidemiology, health sciences, dentistry, and clinical medicine. This book provides a readable text, giving advice on the reporting of new data analytical methods and data presentation. The book consists of 13 articles. Each article is self-contained and may be read independently according to the needs of the reader. The book is essential reading for postgraduate students as well as researchers from medicine and other sciences where statistical data analysis plays a central role.
M Todos De Data Science Aplicados A La Econom A Y A La Direcci N Y Administraci N De Empresas
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Author : VICENTE VÍRSEDA Juan Antonio
language : es
Publisher: Editorial UNED
Release Date : 2019-10-30
M Todos De Data Science Aplicados A La Econom A Y A La Direcci N Y Administraci N De Empresas written by VICENTE VÍRSEDA Juan Antonio and has been published by Editorial UNED this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-30 with Computers categories.
El libro pretende hacer una revisión de las técnicas más habituales en Data Science, desde los modelos estadísticos de regresión lineal hasta aquellos más avanzados de redes neuronales, pasando por algoritmos y modelos básicos en el análisis de datos. Todo ello se plasma de manera práctica, utilizando como herramienta de análisis R, que es un lenguaje de programación de común utilización en el ámbito de las ciencias sociales, al que, además, se le dedica un tema introductorio para que el estudiante se maneje con facilidad. De esta forma, el manual no solo contiene los aspectos teóricos de los diferentes modelos estadísticos, sino también ejemplos de carácter práctico, sobre bases de datos de referencia y de fácil de acceso en Internet, que permiten al lector tener una visión clara y útil de aquello en lo que previamente ha profundizado. Los cuatro autores del libro son directores de la formación modular de Experto, Especialización y Máster en Big Data y Data Science Aplicados a la Economía y Administración de la Empresa, que se ha convertido en un gran banco de pruebas y experiencia para la gestión de este manual. De igual forma, los cuatro autores son doctores, habiendo aplicado estas técnicas de análisis en las diferentes investigaciones que han realizado, así como en los proyectos en los que han participado.
Introducci N A La Ciencia De Datos En R
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Author : Pérez Castillo José Nelson
language : es
Publisher: Editorial Universidad Distrital Francisco José de Caldas
Release Date : 2020-03-03
Introducci N A La Ciencia De Datos En R written by Pérez Castillo José Nelson and has been published by Editorial Universidad Distrital Francisco José de Caldas this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-03 with Computers categories.
Este libro busca que el lector adquiera la capacidad de utilizar las técnicas y herramientas propias de lo que hoy se conoce como ciencia de datos, teniendo como propósito resolver problemas que involucren diversas fuentes de datos, tanto estructurados como no estructurados, dotándolo de la capacidad de generar valor y diferenciación a las organizaciones a partir del análisis de sus conjuntos de datos.
Modelos Lineales Generales En R
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Author : Garibaldi, Lucas Alejandro
language : es
Publisher: Editorial UNRN
Release Date : 2024-12-27
Modelos Lineales Generales En R written by Garibaldi, Lucas Alejandro and has been published by Editorial UNRN this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-27 with Computers categories.
Los modelos lineales generales (MLG), aplicados con el programa R, ayudan a resolver problemas agronómicos y ambientales en contextos inciertos. El texto enseña desde la exploración de datos hasta la toma de decisiones y predicciones.
Google Analytics
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Author : Ronan Chardonneau
language : es
Publisher: Ediciones ENI
Release Date : 2017
Google Analytics written by Ronan Chardonneau and has been published by Ediciones ENI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with categories.
R Programming For Data Science
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Author : Roger D. Peng
language : en
Publisher:
Release Date : 2012-04-19
R Programming For Data Science written by Roger D. Peng and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-04-19 with R (Computer program language) categories.
Data science has taken the world by storm. Every field of study and area of business has been affected as people increasingly realize the value of the incredible quantities of data being generated. But to extract value from those data, one needs to be trained in the proper data science skills. The R programming language has become the de facto programming language for data science. Its flexibility, power, sophistication, and expressiveness have made it an invaluable tool for data scientists around the world. This book is about the fundamentals of R programming. You will get started with the basics of the language, learn how to manipulate datasets, how to write functions, and how to debug and optimize code. With the fundamentals provided in this book, you will have a solid foundation on which to build your data science toolbox.