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.
Tag: logistic regression
To Fuse or Not To Fuse Models?
The idea of model fusions is pretty simple: You combine the predictions of a bunch of separate classifiers into a
Programming Operating Thresholds with the BigML API
In this post, the fourth of our blog posts for the first release of the year, we will explore how
Introduction to Operating Thresholds
BigML’s upcoming release on Wednesday, January 31, 2018, will be presenting two new features: operating thresholds for classification models and organizations. In
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
Automating Logistic Regression Workflows
Continuing with our series of posts about Logistic Regression in this fifth post we will focus on the point of view of
Programming Logistic Regressions
In this post, the fourth one of our Logistic Regression series, we want to provide a brief summary of all the
Predicting Airbnb Prices with Logistic Regression
This is the third post in the series that covers BigML’s Logistic Regression implementation, which gives you another method to solve
Logistic Regressions: the 6 Steps to Predictions
BigML is bringing Logistic Regression to the Dashboard so you can solve complex classification problems with the help of powerful
