Check out the latest BigML highlights as well as our upcoming events as our growing ecosystem of users, customers, and partners keep delivering top-notch Machine Learning solutions.
 

BigML's latest release has brought Linear Regression to our platform, a well-known algorithm for supervised learning often used to analyze product performance, conduct market research, perform sales forecasting, and make stock market predictions, among many other use cases. This simple to understand and interpretable technique assumes a linear relationship between the input fields and the objective field, enabling you to summarize relationships between quantitative, continuous variables. BigML's implementation of linear regression can support any type of field including categorical, text, and items fields, and can even handle missing values. 

Having completed our first Machine Learning School in Seville, which took place on March 7-8 with participation from 184 decision makers, we continue our march with these upcoming events:
 

In addition to our regular series of blog posts about the Linear Regression release, you may also find interesting the following posts.​