Learning Data Science | Data Wrangling, Exploration, Visualization, and Modeling with Python
Idioma: inglés
Editorial: O'Reilly Media, 2023
- Tapa blanda
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Librería: preigu, Osnabrück, Alemaniapreigu
Vendedor de IberLibro desde 5 de agosto de 2024
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Añadir al carritoDescripción del artículo del vendedor
Learning Data Science | Data Wrangling, Exploration, Visualization, and Modeling with Python | Deborah Nolan (u. a.) | Taschenbuch | Kartoniert / Broschiert | Englisch | 2023 | O'Reilly Media | EAN 9781098113001 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
N° de ref. del artículo 121318240
- Título
- Learning Data Science | Data Wrangling, Exploration, Visualization, and Modeling with Python
- Autor
- Deborah Nolan (u. a.)
- Editorial
- O'Reilly Media
- Año de publicación
- 2023
- Estado
- Neu
- Encuadernación
- Taschenbuch
- Idioma
- inglés
- ISBN 10
- 1098113004
- ISBN 13
- 9781098113001
- Peso del artículo
- 1040 gramos
- Dimensiones
- 233 x 177 x 32 mm
- Catálogos de vendedores
- Bücher
As an aspiring data scientist, you appreciate why organizations rely on data for important decisions--whether it's for companies designing websites, cities deciding how to improve services, or scientists discovering how to stop the spread of disease. And you want the skills required to distill a messy pile of data into actionable insights. We call this the data science lifecycle: the process of collecting, wrangling, analyzing, and drawing conclusions from data.
Learning Data Science is the first book to cover foundational skills in both programming and statistics that encompass this entire lifecycle. It's aimed at those who wish to become data scientists or who already work with data scientists, and at data analysts who wish to cross the "technical/nontechnical" divide. If you have a basic knowledge of Python programming, you'll learn how to work with data using industry-standard tools like pandas.
- Refine a question of interest to one that can be studied with data
- Pursue data collection that may involve text processing, web scraping, etc.
- Glean valuable insights about data through data cleaning, exploration, and visualization
- Learn how to use modeling to describe the data
- Generalize findings beyond the data
“Sinopsis” puede pertenecer a otra edición de este título.
Acerca del autor
Joseph (Joey) Gonzalez is an assistant professor in the EECS department at UC Berkeley and a founding member of the new UC Berkeley RISE Lab. His research interests are at the intersection of machine learning and data systems, including: dynamic deep neural networks for transfer learning, accelerated deep learning for high-resolution computer vision, and software platforms for autonomous vehicles. Joey is also co-founder of Turi Inc. (formerly GraphLab), which was based on his work on the GraphLab and PowerGraph Systems. Turi was recently acquired by Apple Inc.
Deborah (Deb) Nolan is Professor of Statistics and Associate Dean for Undergraduate Studies in the Division of Computing, Data Science, and Society at the University of California, Berkeley, where she holds the Zaffaroni Family Chair in Undergraduate Education. Her research has involved the empirical process, high-dimensional modeling, and, more recently, technology in education and reproducible research. Her pedagogical approach connects research, practice and education, and she is co-author of 4 textbooks: Stat Labs, Teaching Statistics, Data Science in R, and Communicating with Data.
“Acerca de” puede pertenecer a otra edición de este título.
preigu
Osnabrück, Alemania
Vendedor de IberLibro desde 5 de agosto de 2024
Tarifas de envío de Alemania a Estados Unidos de America
| Artículo | De 60 a 60 días hábiles | De 60 a 60 días hábiles |
|---|---|---|
| Primer artículo | EUR 70,00 | EUR 70,00 |
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