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The Official Blog of BigML.com

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Author: cheesinglee

March 27, 2019 Algorithms / Linear Regression / Product

Linear Regression: A Technical Overview

BigML has added multiple linear regression to its suite of supervised learning methods. In this sixth and final blog post

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December 19, 2018 PCA / Release / transformations / Webinar

Principal Component Analysis: Technical Overview

This past week we’ve been blogging about BigML’s new Principal Component Analysis (PCA) feature. In this post, we will continue

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July 20, 2017 Algorithms / Time Series

Behind the Scenes of BigML’s Time Series Forecasting

BigML’s Time Series Forecasting model uses Exponential Smoothing under hood. This blog post, the last one of our series of

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September 28, 2016 Algorithms / Logistic Regression / Python / WhizzML

Logistic Regression versus Decision Trees

The question of which model type to apply to a Machine Learning task can be a daunting one given the

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September 21, 2015 Feature Engineering / New Features

Looking for Connections in Your Data – Correlation Coefficients

This is part of an ongoing statistics-related blog post series in anticipation of BigML’s upcoming statistical tests resource. The previous post

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May 15, 2015 Anomaly Detection

Detecting numeric irregularities with Benford’s Law

This is the first post in a series of statistics primers to inaugurate the arrival of BigML’s new advanced statistics

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September 4, 2014 API / Machine Learning / Tutorial

Enhancing your Web Browsing Experience with Machine Learned Models (part II)

In the first part of this series, we saw how to insert machine-learned model predictions into a webpage on-the-fly using

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July 9, 2014 Gallery / Machine Learning / Tutorial

Enhancing your Web Browsing Experience with Machine Learned Models (part I)

The other day, I was showing off the Kiva model from BigML’s gallery to my wife. I got the comment that

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April 24, 2014 API

BigML API + Matlab = Beautiful, Interactive Trees.

Whatever your preferred working environment, we want to make BigML available to you. That’s why we’re happy to announce a

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February 26, 2014 API / Machine Learning

Smart Feature Selection with scikit-learn and BigML’s API

When trying to make data-driven decisions, we’re often faced with datasets that contain many more features than what we actually

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