PAPIs ’16 in Boston is Open for Registration
Registration is now open for PAPIs ’16, which will take place in Boston on October 11–12, 2016. This will be the third
Month: June 2016
Machine Learning Prague Videos are Ready!
BigML had the pleasure to participate in the inaugural Machine Learning Prague conference, which brought together European companies and startups as
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
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
Predictive Analytics in the Financial Industry – The Art of What, How and Why
Mobey Forum, the global industry association empowering banks and other financial institutions to play a leading role in ushering the
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,
PAPIs 2016 – Call for Proposals Deadline is This Friday!
2016 marks the first year PAPIs.io is making it across the Atlantic to Boston. The conference will take place on October 10-12,
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
