Programmatically Fill in Missing Values in Your Dataset with WhizzML
For new WhizzML developers, WhizzML’s power as a full-blown functional programming language can sometimes obscure the relationship between WhizzML and
Category: WhizzML
Using Anomaly Detectors to Assess Covariate Shift
BigML first discussed some time ago how the performance of a predictive model can suffer when the model is applied to new data generated
Automatically Estimate the Best K for K-Means Clustering with WhizzML
(Thanks to Alex Schwarm of dnb.com for bringing to our attention the Pham, Dimov, and Nguyen paper, which is the subject 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 Tutorial I: Automated Dataset Transformation
I hope you’re as excited as I am to start using WhizzML to automate BigML workflows! (If you don’t know
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,
Automating Machine Learning Workflows
Machine Learning (ML) services are quickly becoming a taken-for-granted part of the software developer’s toolbox, in any domain. These days,
The Official Blog of BigML.com 