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The Official Blog of BigML.com

The Official Blog of BigML.com

Machine Learning Made Simple

  • .:|:. BIGML NEWSLETTER .:|:.
  • About BigML, Inc.
  • List of Public Data Sources Fit for Machine Learning

Author: josverwoerd

March 21, 2013 Tutorial

3 Machine Learning Mistakes I Made (Often)

As a novice in this machine learning field, I managed to make a lot of mistakes. But I was fortunate

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February 28, 2013 Big Data / Data

Data, Data, Data: Thousands of Public Data Sources

We love data, big and small and we are always on the lookout for interesting datasets. Over the last two

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February 22, 2013 Developers / New Features

A Shiny New Toy in our Sandbox

If you are a meticulous developer or you are learning the basics of machine learning, you are going to love

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January 8, 2013 Gallery

Predict S&P’s Next Credit Rating

A post on The Guardian’s Datablog triggered my curiosity. While the post itself is basically an explanation of the work

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December 19, 2012 Fun

Introducing: Predictive Christmas Trees

You want to add a little bit of Holiday spirit to your predictive analysis? We have just the thing for

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December 13, 2012 Gallery

I’ll Be Home For Christmas… a Little Later.

Flying home to your loved ones this Holiday season? You’re probably one of the lucky ones who could get a

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December 6, 2012 Big Data / Developers

Free Big Data & Cloud Computing Seminar in Barcelona

On Dec 13, 2012 BigML’s Chief Technology Officer  Hacker-at-Large Jose Antonio Ortega (better known by his initials ‘jao’) will give

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December 3, 2012 Machine Learning / New Features

Predicting with My Model: Is It Safe?

“Remember that all models are wrong; the practical question is how wrong do they have to be to not be

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November 29, 2012 Big Data / Machine Learning / New Features / Visualization

Put Some Confidence in Your Predictions

Predicting is not a terribly exact activity. If you want to know exactly what will happen tomorrow, you’ll have to

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November 22, 2012 Big Data / Data

8 Steps to Get Started with (Big) Data

A previous post compared working with data to a digestive system. We think that the Big Data technology in Ingestion

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