Bigger Results from Smaller Data with Linear Regression
In this second post of our series, we’ll cover a use case example. Least squares linear regression is one of
Tag: supervised learning
Linear Regression Joins the Suite of Supervised Methods on BigML
The latest BigML release brings a tried and true Machine Learning algorithm to the platform: Linear Regression. We intend to
Fusions with the BigML Dashboard: Improving the Performance of your Models
The BigML Team is bringing Fusions to the BigML platform on July 12, 2018. As explained in our introductory post, Fusions are a supervised
Finding your Optimal Model Automatically with Zero Lines of Code
The BigML Team has been working hard to bring OptiML to the platform, which will be available on May 16, 2018.
BigML Release: Automatically Find the Optimal Machine Learning Model with OptiML!
BigML’s new release is here! Join us on Wednesday, May 16, 2018, at 10:00 AM PDT (Portland, Oregon. GMT -07:00)
Operating Thresholds: Behind the Scenes
To wrap up this series of blog posts, we’re going to get a little bit deeper into the business of
Creating your Deepnets with the BigML Dashboard
The BigML Team has been working hard this summer to bring Deepnets to the platform, which will be available on October
Case Study: Finding Higgs Bosons with Deepnets
In our previous blog post, we’ve introduced Deep Neural Networks. In today’s blog post, the second of our series of
BigML Summer 2017 Release and Webinar: Deepnets!
BigML’s Summer 2017 Release is here! Join us on Thursday October 5, 2017, at 10:00 AM PDT (Portland, Oregon. GMT
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
