Machine Learning – Page 2 – The Official Blog of BigML.com

Deep Learning, Part 1: Not as Deep as You Think

Gary Marcus has emerged as one of deep learning’s chief skeptics. In a recent interview, and a slightly less recent

At BigML we’re well aware that data preparation and feature engineering are key steps for the success of any Machine

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

As part of our release for Data Transformations, we have outlined both a use case and how to execute the

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

The idea of model fusions is pretty simple: You combine the predictions of a bunch of separate classifiers into a

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

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

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

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