Automating Linear Regressions with WhizzML & Python Bindings
This blog post, the fifth of our series of six posts about Linear regressions, focuses on those users that want
Tag: Python
Automating Principal Component Analysis
Today’s post is the fifth one of our series of blog posts about BigML Principal Component Analysis (PCA) unique implementation, the latest
Automating Deepnets with WhizzML and The BigML Python Bindings
This blog post, the fifth of our series of six posts about Deepnets, focuses on those users that want to automate
How to Perform Clustering in a Single Command Line
It’s been a while since we last wrote about the latest changes in our command line tool, BigMLer. In the
Enhancing your Web Browsing Experience with Machine Learned Models (part II)
In the first part of this series, we saw how to insert machine-learned model predictions into a webpage on-the-fly using
Surfing the sea of tags with multi-label Machine Learning and BigMLer
Navigating the web nowadays, we constantly paddle through clouds of tags and other classification or taxonomy labels. We’ve grown so
Describe yourself in a word? Never again with Multi-label Classification
Who hasn’t suffered the describe-yourself-in-a-word question in job interviews? That’s a really tough one, because it forces you to choose one
Fly your ML-Cloud like a kite with BigMLer: the command-line tool for Machine Learning
A month ago we presented BigMLer, an open-source command line tool that enables the creation of BigML datasets, models and predictions
BigMLer in da Cloud: Machine Learning made even easier
We have open-sourced BigMLer, a command line tool that will let you create predictive models much easier than ever before. BigMLer
Predictive Models: Build once, Run Anywhere
We have released a new version of our open source Python bindings. This new version aims at showing how the BigML API
