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The Official Blog of BigML.com

The Official Blog of BigML.com

Machine Learning Made Simple

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Author: Pablo González

June 13, 2022 Object Detection / Product / Release

Easily Identifying Plant Diseases with Object Detection

As part of our Object Detection release posts, on this post, we would like to showcase the entire application development

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December 3, 2021 Anomaly Detection / computer vision / Deepnets / Image data / Image Processing / Tutorial / Webinar

ML in Manufacturing: Detecting Defects with Unsupervised Learning and Image Feature Extraction

A while ago, when I was studying at the university, my professor shared a nice story about a fruit import

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September 13, 2019 Algorithms / automl / Feature Engineering / Machine Learning / Product / WhizzML

AutoML: BigML Automated Machine Learning

Last year, BigML launched the OptiML resource for Automatic Model Optimization. Without a doubt, it has marked a milestone in

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May 2, 2019 Human Resources / Miscellaneous / Training & Certification

Machine Learning Internship: Standing on the shoulders of giants

I took this photo at the Valencian Summer School in Machine Learning 2018. That was my second Summer School, but

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February 5, 2019 Gallery / Scripting / WhizzML

Comparing Feature Selection Scripts

In this series about feature selection, the first three posts covered three different WhizzML scripts that can help you with this

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January 29, 2019 Gallery / Scripting / WhizzML

Automated Best-First Feature Selection

In this third post about feature selection scripts in WhizzML, we will introduce the third and final algorithm, Best-First Feature Selection

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January 22, 2019 Gallery / Scripting / WhizzML

Simple Boruta Feature Selection Scripting

In the previous post of this series about feature selection WhizzML scripts, we introduced the problem of having too many

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January 15, 2019 Gallery / Python / Scripting / transformations / WhizzML

Practical Recursive Feature Selection

With the Summer 2018 Release Data Transformations were added to BigML. SQL-style queries, feature engineering with the Flatline editor and options to merge and join datasets

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