Machine Learning in Industrial Chemicals: Process Quality Optimization
This post is the last in our series of 5 blog posts highlighting use case presentations from the 2nd Edition
Category: Ensembles
The Fusions Webinar Video is Here: Improve your Model Performance Through Algorithmic Diversity!
The new BigML release brings Fusions to our Machine Learning platform, the new modeling capability that combines multiple models to
Automating Fusions with WhizzML and the Python Bindings
This blog post is the fifth in our series of posts about Fusions and focuses on how to automate processes
Programming Fusions with the BigML API
As part of our Fusions release, we have already demonstrated a use case and walked through an example using the
Fusions with the BigML Dashboard: Improving the Performance of your Models
The BigML Team is bringing Fusions to the BigML platform on July 12, 2018. As explained in our introductory post, Fusions are a supervised
Small Differences Matter: Maximizing Model Performance with Fusions of Models
The results of many Machine Learning competitions, perhaps most famously the Netflix prize, have demonstrated that a combination of models
Improving the Performance of your Models with Fusions!
BigML’s new release is here! Join us on Thursday, July 12, 2018, at 10:00 AM PDT (Portland, Oregon. GMT -07:00)
BigML Release: Automatically Find the Optimal Machine Learning Model with OptiML!
BigML’s new release is here! Join us on Wednesday, May 16, 2018, at 10:00 AM PDT (Portland, Oregon. GMT -07:00)
Predicting Air Pollution in Madrid
Air pollution is a tremendous problem in big cities, where health issues and traffic restrictions are continuously increasing. The concentration
Predicting the 2017 Oscar Winners
Machine Learning is accelerating its transition from academia to industry. We see more and more media outlets reporting about it,
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