The Data Transformations Webinar Video is Here: Machine Learning-Ready Data!
The latest BigML release brings new Data Transformation capabilities to our Machine Learning platform, crucially alleviating the data engineering bottleneck.
Tag: Release
Automating Data Transformations with WhizzML and the BigML Python Bindings
This is the fifth post of our series of six about BigML’s new release: Data Transformations. This time we are
Efficient Data Transformations Using the BigML API
As part of our release for Data Transformations, we have outlined both a use case and how to execute the
Data Transformations: Machine Learning-Ready Data!
BigML’s new release is here! Join us on Thursday, October 25, 2018, at 10:00 AM PDT (Portland, Oregon. GMT -07:00)
The Fusions Webinar Video is Here: Improve your Model Performance Through Algorithmic Diversity!
The new BigML release brings Fusions to our Machine Learning platform, the new modeling capability that combines multiple models to
Text Analysis Enhancements: 22 Languages and More Pre-processing Options!
We’re happy to share new options to automatically analyze the text in your data. BigML has been supporting text fields as
To Fuse or Not To Fuse Models?
The idea of model fusions is pretty simple: You combine the predictions of a bunch of separate classifiers into a
Automating Fusions with WhizzML and the Python Bindings
This blog post is the fifth in our series of posts about Fusions and focuses on how to automate processes
Programming Fusions with the BigML API
As part of our Fusions release, we have already demonstrated a use case and walked through an example using the
Fusions with the BigML Dashboard: Improving the Performance of your Models
The BigML Team is bringing Fusions to the BigML platform on July 12, 2018. As explained in our introductory post, Fusions are a supervised
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