How do you know which modeling methods will work best on your data? Building multiple models, comparing them and determining the most useful one can be an involved process. With so many predictive modeling methods and ways to compare and combine models, how can you easily identify the best models?
This workflow is now made much easier for scientists and engineers. Now, they can automatically fit multiple models, explore their performance, and select and store the best-performing model.
In this webinar, Kemal Oflus demonstrates how to use machine learning methods without having to write and tune algorithms using your subject matter expertise. Build better models faster and make better decisions. Register to watch Kemal discuss:
- Potential applications of model screening from multiple industries.
- Understanding different modeling methods at a general, non-technical level.
- Case studies that show you how to turbo-charge your model-building efforts and realize better model performance.