There have been some major advancements to the RapidMiner platform since this article was originally published. We’re on a mission to make machine learning more accessible to anyone. For more details, check out our latest release.
With the release of RapidMiner 8.1, we’ve introduced Auto Model, a new addition to RapidMiner Studio that accelerates everything data scientists do when building machine learning models.
Unlike existing automated machine learning approaches, Auto Model is not a “black box” that prevents data scientists from understanding how the model works. Auto Model generates a RapidMiner process behind the scenes, so data scientists can fine tune and test models before putting them into production.
Join our founder, Dr. Ingo Mierswa, for this webinar where he provides a detailed overview of the features of RapidMiner Auto Model including:
- Suggesting the best machine learning techniques and automatically generating optimized cross-validated models
- Highlighting which features have the greatest impact on your objective
- Built in visualizations and an interactive model simulator let users quickly explore the model to see how it performs
