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Sách Machine Learning with R, the tidyverse, and mlr (sách keo gáy, bìa mềm)
Categories:Computers - Computer Science
Year:2020
Edition:1
Language:english
Pages:538
Machine Learning with R, tidyverse, and mlr teaches readers how to gain
valuable insights from their data using the powerful R programming
language. In his engaging and informal style, author and R expert Hefin
Ioan Rhys lays a firm foundation of ML basics and introduces readers to
the tidyverse, a powerful set of R tools designed specifically for
practical data science. Key Features * Commonly used ML techniques *
Using the tidyverse packages to organize and plot your data * Validating
model performance * Choosing the best ML model for your task * A
variety of hands-on coding exercises * ML best practices For readers
with basic programming skills in R, Python, or another standard
programming language. About the technology Machine learning techniques
accurately and efficiently identify patterns and relationships in data
and use those models to make predictions about new data. ML techniques
can work on even relatively small datasets, making these skills a
powerful ally for nearly any data analysis task. Hefin Ioan Rhysis a
senior laboratory research scientist in the Flow Cytometry Shared
Technology Platform at The Francis Crick Institute. He spent the final
year of his PhD program teaching basic R skills at the university. A
data science and machine learning enthusiast, he has his own Youtube
channel featuring screencast tutorials in R and R Studio.
