Models

rstudio::conf 2019

Visualizing uncertainty with hypothetical outcomes plots

January 25, 2019 |

Uncertainty is a key component of statistical inference. However, uncertainty is not easy to convey effectively in data visualizations. For example, viewers have a tendency to...

rstudio::conf 2019

Solving the model representation problem with broom

January 25, 2019 |

The R objects used to represent model fits are notoriously inconsistent, making data analysis inconvenient and frustrating. The broom package resolves this issue by defining a consistent way to...

rstudio::conf 2019

parsnip: A tidy model interface

January 24, 2019 |

parsnip is a new tidymodels package that generalizes model interfaces across packages. The idea is to have a single function interface for types of specific models (e.g. logistic regression) that...

rstudio::conf 2019

Introducing mlflow

January 24, 2019 |

We introduce the R API for MLflow, which is an open source platform for managing the machine learning lifecycle. We demonstrate each component of the platform–Tracking, Projects, and...

Webinars

Training your TensorFlow models in the cloud

April 25, 2018 |

TensorFlow is an open-source software library for numerical computation using data flow graphs.