Scriptify: 1-Click Reification of Complex Machine Learning Workflows
Real world Machine Learning is not just about the application of an algorithm to a dataset but a workflow, which
Category: Resources
How to Discover What is Important to Your Clusters
Raw information is useless if you don’t understand what it means, but sometimes there is just so much it’s hard
Feature Selection not only for Programmers
Nowadays, many knowledge workers have access to lots of data that can be analyzed to extract interesting insights. This has brought people
Datatrics is Bridging the Gap between Machine Learning and Marketing with BigML
We first ran into the predictive marketing startup Datatrics from the Netherlands at the PAPI’s Connect event in Valencia earlier
How to Put Machine Learning in your Machine Learning
There are so many Machine Learning algorithms and so many parameters for each one. Why can’t we just use a
WhizzML: Level Up with Gradient Boosting
Let’s get serious. Sure, you can use WhizzML to fill in missing values or to do some basic data cleaning, but
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
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
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