Author: Julia Silge

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David Robinson is a data scientist at Stack Overflow with a PhD in Quantitative and Computational Biology from Princeton University. He enjoys developing open source R packages, including broom, gganimate, fuzzyjoin and widyr, as well as blogging about statistics, R, and text mining on his blog, Variance Explained.




6 Ebooks by Julia Silge

David Robinson & Julia Silge: Text Mining with R
Much of the data available today is unstructured and text-heavy, making it challenging for analysts to apply their usual data wrangling and visualization tools. With this practical book, youll explor …
EPUB
English
DRM
€34.31
David Robinson & Julia Silge: Text Mining with R
Much of the data available today is unstructured and text-heavy, making it challenging for analysts to apply their usual data wrangling and visualization tools. With this practical book, youll explor …
PDF
English
DRM
€34.54
Emil Hvitfeldt & Julia Silge: Supervised Machine Learning for Text Analysis in R
Text data is important for many domains, from healthcare to marketing to the digital humanities, but specialized approaches are necessary to create features for machine learning from language. Superv …
PDF
DRM
€63.52
Emil Hvitfeldt & Julia Silge: Supervised Machine Learning for Text Analysis in R
Text data is important for many domains, from healthcare to marketing to the digital humanities, but specialized approaches are necessary to create features for machine learning from language. Superv …
EPUB
DRM
€64.15
Max Kuhn & Julia Silge: Tidy Modeling with R
Get going with tidymodels, a collection of R packages for modeling and machine learning. Whether you’re just starting out or have years of experience with modeling, this practical introduction shows …
EPUB
English
DRM
€52.84
Max Kuhn & Julia Silge: Tidy Modeling with R
Get going with tidymodels, a collection of R packages for modeling and machine learning. Whether you’re just starting out or have years of experience with modeling, this practical introduction shows …
PDF
English
DRM
€52.60