Data Transformations: Machine Learning-Ready Data!
BigML’s new release is here! Join us on Thursday, October 25, 2018, at 10:00 AM PDT (Portland, Oregon. GMT -07:00)
Category: New Features
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
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)
OptiML: The Nitty Gritty
One click and you’re done, right? That’s the promise of OptiML and automated Machine Learning in general, and to some extent,
Introduction to OptiML: Automatic Model Optimization
BigML’s upcoming release on Wednesday, May 16, 2018, will be presenting a new resource to the platform: OptiML. In this post, we’ll do a
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)
Prediction Explanation: Adding Transparency to Machine Learning
The effective use and adoption of Machine Learning requires algorithms that are not only accurate, but also understandable. To address
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
Deepnets: Behind The Scenes
Over our last few blog posts, we’ve gone through the various ways you can use BigML’s new Deepnet resource, via
Programming Deepnets with the BigML API
So far, we have introduced BigML’s Deepnets, how they are used, and how to create one in the BigML Dashboard.
