Data literacy : how to make your experiments robust and reproducible /
Data Literacy: How to Make Your Experiments Robust and Reproducible provides an overview of basic concepts and skills in handling data, which are common to diverse areas of science. Readers will get a good grasp of the steps involved in carrying out a scientific study and will understand some of the...
Clasificación: | Libro Electrónico |
---|---|
Autor principal: | Smalheiser, Neil R. (Autor) |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Amsterdam :
Academic Press,
2017.
|
Temas: | |
Acceso en línea: | Texto completo |
Ejemplares similares
-
Data mining and knowledge discovery for geoscientists /
por: Shi, Guangren
Publicado: (2014) -
Predictive modeling in biomedical data mining and analysis
Publicado: (2022) -
Big data analytics for healthcare : datasets, techniques, life cycles, management, and applications /
Publicado: (2022) -
Intelligent data analysis for biomedical applications : challenges and solutions /
Publicado: (2019) -
Data mapping for data warehouse design /
por: Haq, Qazi Muhammad Rashid Ul
Publicado: (2016)