Automated Machine Learning for Imbalanced Data
Following our previous posts on how to improve results when using Machine Learning on imbalanced data, in this post, we’ll
Category: Scripting
Fully Automating Server-side Object Detection Workflows
Continuing with our Object Detection release blog posts series, today, we’ll showcase how to automate the training of the object
How to Configure Optional Inputs for WhizzML Scripts
WhizzML, the powerful Domain-Specific Language (DSL) developed by BigML, is used not only to automate Machine Learning (ML) workflows but
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
Using a Customized Cost Function to deal with Unbalanced Data
As pointed in this Kdnuggets article, it’s often the case that we only have a few examples of the thing
Anomaly Detection, Benchmarks, and WhizzML
Anomaly detectors are a useful tool for any machine learning practitioner, whether for data cleaning, fraud detection, or as early-warning
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
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