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The Official Blog of BigML.com

Machine Learning Made Simple

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Category: Machine Learning

November 21, 2018 Algorithms / Anomaly Detection / Clusters / Machine Learning / Machine Learning Schools / Qatar / WhizzML

K-means – – Finding Anomalies while Clustering

On November 4th and 5th, BigML joined the Qatar Computing Research Institute (QCRI), part of Hamad Bin Khalifa University, to bring

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October 22, 2018 API / Data / Feature Engineering / transformations / Tutorial / Webinar

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

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October 19, 2018 Data / Feature Engineering / Finance / Product / Time Series / transformations / Webinar

An Intuitive Guide to Financial Analysis with Data Transformations

With regards to the analysis of financial markets, there exists two major schools of thought: fundamental analysis and technical analysis.

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July 11, 2018 Algorithms / Fusions / Machine Learning / New Features / Product / Release

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

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June 21, 2018 Association Discovery / Feature Engineering / SQL / transformations

Preparing a Machine Learning-Ready Dataset for Market Basket Analysis

BigML Associations can help identify which pairs (or groups) of items occur together more frequently than expected. A typical use

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May 16, 2018 Machine Learning / New Features / OptiML / Release / Webinar

OptiML: The Nitty Gritty

One click and you’re done, right? That’s the promise of OptiML and automated Machine Learning in general, and to some extent,

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May 1, 2018 Machine Learning / New Features / Product

Prediction Explanation: Adding Transparency to Machine Learning

The effective use and adoption of Machine Learning requires algorithms that are not only accurate, but also understandable. To address

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April 16, 2018 Machine Learning / Video

Fireside Chat with Tom Dietterich

BigML’s Chief Scientist, Emeritus Professor Tom Dietterich was recently interviewed by Eric Horvitz as part of Microsoft Research’s Fireside Chat

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March 22, 2018 Deepnets / Fun / Machine Learning / Sports

Finding Sense in March Madness with Machine Learning

If you are one of the approximately 54 million Americans that filled out a bracket to predict the NCAA Men’s

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January 4, 2018 Business / Machine Learning

Grading our Machine Learning Predictions for 2017

Some say the easiest way to make a fool of yourself is to try and predict the evolution of technology.

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