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Zustand: New. Über den AutorMax Kuhn is a software engineer at RStudio. He is currently working on improving R s modeling capabilities. He was applying models in the pharmaceutical and diagnostic industries for over 18 years. Max has a Ph.D. in B.
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Taschenbuch. Zustand: Neu. Tidy Modeling with R | A Framework for Modeling in the Tidyverse | Max Kuhn (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2022 | O'Reilly Media | EAN 9781492096481 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Taschenbuch. Zustand: Neu. Neuware -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 data analysts, business analysts, and data scientists how the tidymodels framework offers a consistent, flexible approach for your work.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 363 pp. Englisch.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware - 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 data analysts, business analysts, and data scientists how the tidymodels framework offers a consistent, flexible approach for your work. RStudio engineers Max Kuhn and Julia Silge demonstrate ways to create models by focusing on an R dialect called the tidyverse. Software that adopts tidyverse principles shares both a high-level design philosophy and low-level grammar and data structures, so learning one piece of the ecosystem makes it easier to learn the next. You'll understand why the tidymodels framework has been built to be used by a broad range of people. With this book, you will: - Learn the steps necessary to build a model from beginning to end - Understand how to use different modeling and feature engineering approaches fluently - Examine the options for avoiding common pitfalls of modeling, such as overfitting - Learn practical methods to prepare your data for modeling - Tune models for optimal performance - Use good statistical practices to compare, evaluate, and choose among models.
Taschenbuch. Zustand: Neu. Neuware -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 data analysts, business analysts, and data scientists how the tidymodels framework offers a consistent, flexible approach for your work. 363 pp. Englisch.