Predicting the 2020 Oscars Winners with Machine Learning
This year, we continue the tradition of predicting the winners of the most anticipated movie awards of the year, The
Machine Learning Made Simple
This year, we continue the tradition of predicting the winners of the most anticipated movie awards of the year, The
Last year, BigML launched the OptiML resource for Automatic Model Optimization. Without a doubt, it has marked a milestone in
In my previous two posts in this series, I’ve essentially argued both sides of the same issue. In the first,
In the first in this series of posts, I discussed a bit about why deep learning isn’t fundamentally different from
Gary Marcus has emerged as one of deep learning’s chief skeptics. In a recent interview, and a slightly less recent
BigML has added multiple linear regression to its suite of supervised learning methods. In this sixth and final blog post
This blog post, the fifth of our series of six posts about Linear regressions, focuses on those users that want
In this fourth post of our series, we want to provide a brief summary of all the necessary steps to
This is the third post of our Linear Regression series. BigML is bringing Linear Regression to the Dashboard so that
In this second post of our series, we’ll cover a use case example. Least squares linear regression is one of