Building Information Modeling (BIM): Machine Learning for the Construction Industry
This guest post is originally authored by David Martínez, CEO at Ibim Building Twice S.L. and Pedro Núñez, I+D+I Manager at Ibim.
Category: Logistic Regression
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)
BigML Summer 2016 Release Webinar Video is Here!
Many thanks for the enthusiastic feedback on BigML’s Summer 2016 Release webinar that formally introduced Logistic Regression to the BigML Dashboard. We had a number of inquiries
Logistic Regression versus Decision Trees
The question of which model type to apply to a Machine Learning task can be a daunting one given the
The Official Blog of BigML.com 