Automating Deepnets with WhizzML and The BigML Python Bindings
This blog post, the fifth of our series of six posts about Deepnets, focuses on those users that want to automate
Tag: WhizzML
Automating Time Series with WhizzML
Since the beginning of our civilization, humans have worried about the future. In particular, we worry about predicting the future.
Boosted Trees with WhizzML and Python Bindings
In this fifth post about Boosted Trees, we want to adopt the point of view of a user who feels comfortable
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
Machine Learning in Objective-C Has Never Been Easier
Taking the opportunity provided by our recent Spring release, BigML is pleased to announce our new SDK for Objective-C, bigml-objc,
WhizzML Training Videos are Here!
This week we completed four in-depth training webinars focused on WhizzML, BigML’s new domain-specific language for automating Machine Learning workflows,
WhizzML Tutorial II: Covariate Shift
If this is your first time writing in the new WhizzML language, I suggest that you start here with a more simple
WhizzML Launch Webinar Recording is Here! In-depth WhizzML Training Series Open for Registration
Last week BigML announced WhizzML, a new domain-specific language for automating Machine Learning workflows, implementing high-level Machine Learning algorithms, and
Automating Machine Learning in Madrid!
We are very excited with all the positive feedback about BigML’s latest release. It was a huge milestone to announce WhizzML,
BigML Spring 2016 Release and Webinar: Automating Machine Learning!
BigML Spring 2016 release is here! Join us on Thursday, May 19, 2016 at 10:00 AM US PDT (Portland, Oregon.
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