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The Official Blog of BigML.com

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Category: BigMLer

May 7, 2018 API / Bagging / BigML.io / BigMLer / Boosting / Dashboard / Deepnets / Ensembles / Logistic Regression / New Features / OptiML / Release / Webinar

BigML Release: Automatically Find the Optimal Machine Learning Model with OptiML!

BigML’s new release is here! Join us on Wednesday, May 16, 2018, at 10:00 AM PDT (Portland, Oregon. GMT -07:00)

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February 6, 2018 API / BigMLer / Predictions

Retraining Machine Learning Models

Nowadays, our models deal with streams of information. They need to be updated when they are fed new data that

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August 25, 2017 BigMLer / Education / Machine Learning / Tutorial / WhizzML

How to create a WhizzML Script – Part 3

In this third post about WhizzML basics, you’ll learn more about tools to create WhizzML scripts. We already covered how

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November 30, 2015 BigMLer / News & Events / Python

Machine Learning with Python at PyConES 2015

Since we established our new European Headquarters in Valencia last July, we have been carrying the Machine Learning banner at all major tech

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June 17, 2015 Anomaly Detection / BigMLer / Machine Learning / Open Source

Anomaly Detection in a Single Command Line

In our prior post we talked about clustering and how you can group your data together into segments by typing a single sentence

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May 27, 2015 BigML.io / BigMLer / Machine Learning / Open Source

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

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May 15, 2014 API / BigML.io / BigMLer / Machine Learning / New Features

Follow your data’s inner voice! Evaluation-guided techniques for Machine Learning

Spring has come, and the steady work of gardening data is starting to bloom in BigML. We’ve repeatedly stressed in our

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May 13, 2014 BigMLer / Clusters / Ensembles / New Features / News & Events

BigML Spring Release: A Cluster of Powerful New Features!

The BigML team has been hard at work the past few months. While we haven’t figured out how to work

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April 16, 2014 API / BigMLer / New Features

Automatic Weighting of Imbalanced Datasets

Very often datasets are imbalanced. That is, the number of instances for each of the classes in the target variable that

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February 25, 2014 BigML.io / BigMLer / Machine Learning / Open Source / Uncategorized

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

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