Really Automating Machine Learning at ML Prague 2018
On March 23-25, 2018, more than 1,000 Machine Learning practitioners will gather at Machine Learning Prague 2018 to hear fromContinue reading
View ArticleBigML Release: Automatically Find the Optimal Machine Learning Model with...
BigML’s new release is here! Join us on Wednesday, May 16, 2018, at 10:00 AM PDT (Portland, Oregon. GMT -07:00)Continue reading
View ArticleFinding your Optimal Models Automatically with WhizzML and OptiML
This blog post, the fifth of our series of posts about OptiML, focuses on how to programmatically use this resourceContinue reading
View ArticleOptiML: 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,Continue reading
View ArticleTo 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 aContinue reading
View ArticleWhere Robotics and Machine Learning Meet
Robotic Process Automation (RPA) and Machine Learning are cutting-edge technologies that are showing an astonishing pace of growth in bothContinue reading
View ArticleAutomating Principal Component Analysis
Today’s post is the fifth one of our series of blog posts about BigML Principal Component Analysis (PCA) unique implementation, the latestContinue reading
View ArticleHow to Configure Optional Inputs for WhizzML Scripts
WhizzML, the powerful Domain-Specific Language (DSL) developed by BigML, is used not only to automate Machine Learning (ML) workflows butContinue reading
View ArticleFully Automating Server-side Object Detection Workflows
Continuing with our Object Detection release blog posts series, today, we’ll showcase how to automate the training of the objectContinue reading
View ArticleAutomated Machine Learning for Imbalanced Data
Following our previous posts on how to improve results when using Machine Learning on imbalanced data, in this post, we’llContinue reading
View Article
