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
Advancing Machine Learning integration with Apple ResearchKit and HealthKit
At BigML we are excited to announce BigMLKit, a new open source framework for iOS and OS X that blends the
Democratizing Machine Learning: The More, The Merrier!
The machine learning marketplace is heating up. The latest news in the machine learning front was Amazon’s launch of Amazon
PAPIs Connect: Europe’s First Machine Learning Event for Decision Makers
A few weeks ago we told you about PAPIs’15, the 2nd International Conference on Predictive APIs and Apps, taking place
BigML Roadshow Down Under!
This week, I had the honor to present at AIIA’s cross-industry luncheon here in Melbourne thanks to the support of
Topic Modeling Coming to BigML
Machine learning and data mining play very nicely with data in a row-column format, where each row represents a data
The Need for Machine Learning is Everywhere!
In my work, which is predominantly information technology, the need for Machine Learning is everywhere. And I don’t mean just
BigML + Informatica = Connected Machine Learning for the Enterprise
We’re very excited to share news that we’ve collaborated with Informatica to release the Informatica Connector for BigML. This connector
Machine Learning Coming to your Mac OS X
Here at BigML our mission is to make machine learning easy, beautiful and understandable to everyone. We work hard to make
Divining the ‘K’ in K-means Clustering
The venerable K-means algorithm is the a well-known and popular approach to clustering. It does, of course, have some drawbacks.
The Official Blog of BigML.com 