AutoML: BigML Automated Machine Learning
Last year, BigML launched the OptiML resource for Automatic Model Optimization. Without a doubt, it has marked a milestone in
Tag: Feature Selection
Comparing Feature Selection Scripts
In this series about feature selection, the first three posts covered three different WhizzML scripts that can help you with this
Automated Best-First Feature Selection
In this third post about feature selection scripts in WhizzML, we will introduce the third and final algorithm, Best-First Feature Selection
Simple Boruta Feature Selection Scripting
In the previous post of this series about feature selection WhizzML scripts, we introduced the problem of having too many
Practical Recursive Feature Selection
With the Summer 2018 Release Data Transformations were added to BigML. SQL-style queries, feature engineering with the Flatline editor and options to merge and join datasets
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
How BigML Finds Important Variables in Wide Datasets
This blog post is based on a talk I gave at the Dare2Data conference in Madrid. I recently found a
Follow your data’s inner voice! Evaluation-guided techniques for Machine Learning
Spring has come, and the steady work of gardening data is starting to bloom in BigML. We’ve repeatedly stressed in our
Smart Feature Selection with scikit-learn and BigML’s API
When trying to make data-driven decisions, we’re often faced with datasets that contain many more features than what we actually
