Supervised Machine Learning for Text Analysis in R (Chapman & Hall/CRC Data Science Series) - Tapa dura

Libro 13 de 36: Chapman & Hall/CRC Data Science

Hvitfeldt, Emil; Silge, Julia

 
9780367554187: Supervised Machine Learning for Text Analysis in R (Chapman & Hall/CRC Data Science Series)
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ISBN 10: 0367554186 ISBN 13: 9780367554187
Editorial: Chapman and Hall/CRC, 2021

Sinopsis

This book is designed to provide practical guidance and directly applicable knowledge for data scientists and analysts who want to integrate text into their modeling pipelines. We assume that the reader is somewhat familiar with R, predictive modeling concepts for non-text data, and the tidyverse family of packages.

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Acerca del autor

Emil Hvitfeldt is a clinical data analyst working in healthcare, and an adjunct professor at American University where he is teaching statistical machine learning with tidymodels. He is also an open source R developer and author of the textrecipes package.

Julia Silge is a data scientist and software engineer at RStudio PBC where she works on open source modeling tools. She is an author, an international keynote speaker and educator, and a real-world practitioner focusing on data analysis and machine learning practice.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Chapman and Hall/CRC
Año de publicación
2021
Idioma
Inglés
ISBN 10 
0367554186
ISBN 13 
9780367554187
Encuadernación
Tapa dura
Número de edición
1
Número de páginas
402
Contacto del fabricante
no disponible
Persona responsable
no disponible

Otras ediciones populares con el mismo título

9780367554194: Supervised Machine Learning for Text Analysis in R (Chapman & Hall/CRC Data Science Series)

Edición Destacada

ISBN 10:  0367554194 ISBN 13:  9780367554194
Editorial: Chapman and Hall/CRC, 2021
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