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Linear Regression: A Technical Overview

BigML has added multiple linear regression to its suite of supervised learning methods. In this sixth and final blog post

This past week we’ve been blogging about BigML’s new Principal Component Analysis (PCA) feature. In this post, we will continue

BigML’s Time Series Forecasting model uses Exponential Smoothing under hood. This blog post, the last one of our series of

The question of which model type to apply to a Machine Learning task can be a daunting one given the

This is part of an ongoing statistics-related blog post series in anticipation of BigML’s upcoming statistical tests resource. The previous post

This is the first post in a series of statistics primers to inaugurate the arrival of BigML’s new advanced statistics

In the first part of this series, we saw how to insert machine-learned model predictions into a webpage on-the-fly using

The other day, I was showing off the Kiva model from BigML’s gallery to my wife. I got the comment that

Whatever your preferred working environment, we want to make BigML available to you. That’s why we’re happy to announce a

When trying to make data-driven decisions, we’re often faced with datasets that contain many more features than what we actually