April 8, 2021 |
Model monitoring is a key component of ModelOps, and the R ecosystem offers flexible, code-first solutions that meet the model monitoring needs of data science practitioners.
September 25, 2020 |
Read The Forrester Wave™: Notebook-Based Predictive Analytics and Machine Learning, Q3 2020 Report to learn why RStudio was named a Strong Performer by this independent research firm, and received the highest scores possible in the evaluation criteria of security, apps, open source and platform infrastructure.
January 25, 2019 |
In current deep learning with Keras and TensorFlow, when you've mastered the basics and are ready to dive into more involved applications (such as generative networks, sequence-to-sequence or...
January 24, 2019 |
When tasked with creating the first customer-facing machine learning model at T-Mobile, we were faced with a conundrum.
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...
April 25, 2018 |
TensorFlow is an open-source software library for numerical computation using data flow graphs.
February 4, 2018 |
In this talk we’ll explore the use of TensorFlow from R, describing the complete workflow including data ingestion, training, and deploying models into production.
June 8, 2017 |
In this talk, a new package called recipes is shown where the specification of model terms and preprocessing steps can be enumerated sequentially.