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Julia Silge & Max Kuhn | Good Practices for Applied Machine Learning | Posit (2022)

Posit PBC
43.6K subscribers
7.6K views 2 years ago
The tidymodels framework is a collection of R packages for modeling and machine learning using tidyverse principles. Whether you are just starting out today or have years of experience with ML, tidymodels offers a consistent, flexible framework for your work. In this talk, learn how tidymodels has been designed to promote ergonomic, effective, and safe modeling practice. We will discuss how to think about the steps of building a model from beginning to end, how to fluently use different modeling and feature engineering approaches, how to avoid common pitfalls of modeling like overfitting and data leakage, and how to version and deploy reliable models trained in R. https://www.tidymodels.org/ Session: Keynote ...more
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Julia Silge & Max Kuhn | Good Practices for Applied Machine Learning | Posit (2022)
224Likes
7,673Views
2022Oct 24
The tidymodels framework is a collection of R packages for modeling and machine learning using tidyverse principles. Whether you are just starting out today or have years of experience with ML, tidymodels offers a consistent, flexible framework for your work. In this talk, learn how tidymodels has been designed to promote ergonomic, effective, and safe modeling practice. We will discuss how to think about the steps of building a model from beginning to end, how to fluently use different modeling and feature engineering approaches, how to avoid common pitfalls of modeling like overfitting and data leakage, and how to version and deploy reliable models trained in R. https://www.tidymodels.org/ Session: Keynote

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Posit PBC

43.6K subscribers