How 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 but
Tag: automation
Automating 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 latest
Where 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 both
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
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,
Finding 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 resource
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)
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 from
Retraining Machine Learning Models
Nowadays, our models deal with streams of information. They need to be updated when they are fed new data that
Automating Operating Thresholds with WhizzML and the BigML Python Bindings
This blog post, the fifth of our series of posts about operating thresholds, focuses on two ways to automate the use of operating
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