Awesome, not awesome. #Awesome“An AI dying algorithm portends major changes for the field of palliative care… A team at Google, in collaboration with three academic medical centers, used input from more than 216,000 hospitalizations of 114,000 patients and nearly 47 billion data points to do a lot of [deep neural networks] predicting: whether a patient […]

This blog post, the fifth of our series of six posts about Linear regressions, focuses on those users that want to automate their Machine Learning workflows using programming languages. If you follow the BigML blog, you may already be familiar with WhizzML, BigML’s domain-specific language for automating Machine Learning workflows, implementing high-level Machine Learning algorithms, […]

BigML, the leading Machine Learning platform, and GoHub from Global Omnium join forces with a strategic partnership to boost Machine Learning adoption throughout the startup and industry sectors. This partnership helps the tech and business sectors apply Machine Learning in their companies, provides them with Machine Learning education and helps them remain competitive in the […]

In this post, we want to provide a brief summary of all the necessary steps to create a Linear Regression using the BigML API. As mentioned in our earlier posts, Linear Regression is a supervised learning method to solve regression problems, i.e., the objective field must be numeric. The API workflow to create a Linear Regression and […]

BigML is bringing Linear Regression to the Dashboard so that you can solve regression problems with the help of powerful visualizations to inspect and analyze your results. Linear Regression is not only one of the best-known but also one of the best-understood supervised learning algorithms. It has its roots in statistics but gets utilized in […]

Least squares linear regression is one of the canonical algorithms in the statistical literature. Part of the reason for this is that it’s very good as a pedagogical tool. It’s very easy to visualize, especially in two dimensions, a line going through a set of points, and the distances from the line to each point representing […]

BigML’s upcoming release on Thursday, March 21, 2019, will be presenting our latest resource to the platform: Linear Regressions. In this post, we’ll do a quick introduction to General Linear Models before we move on to the remainder of our series of 6 blog posts (including this one) to give you a detailed perspective of what’s behind the new capabilities. Today’s […]

Awesome, not awesome. #Awesome“In most hospitals and clinics around the world, trained physicians make this diagnosis, examining a patient’s eyes and identifying the tiny lesions, hemorrhages and discoloration that anticipate diabetic blindness. But Aravind is trying to automate the process. Working with a team of Google artificial intelligence researchers based in California, the hospital is testing […]

The latest BigML release brings a tried and true Machine Learning algorithm to the platform: Linear Regression. We intend to make it generally available on Thursday, March 21, 2019. This simple technique is well understood and widely used across industries. As such, it has been a frequently requested algorithm by our customers and we are […]

184 decision makers, analysts, domain experts, and entrepreneurs coming from all around the world gathered on March 7 and 8 at EOI Andalucía to join the first edition of our Machine Learning School held in Seville, Spain (#MLSEV). The event was co-organized by EOI and BigML, in collaboration with the Andalusian Government and Seville City Council; […]