ABOUT US

At the Radian Institute, we strive to make the world a better place through iterative and evidenced-based exploration. Our logo, theta subscript i, is a metaphor for our process. In machine learning, 𝜽 is used in the hypothesis equation to make predictions about the world. As a simple example, let's say you want to predict home prices and you have a set of variables such as square feet, number of bathrooms, number of bedrooms, etc. You would use the hypothesis equation: h𝜃(x) =𝜃0+𝜃1x+𝜃2y to create a model to predict home prices based on those variables. The thetas are the weight of each variable and by iteratively testing different weights for each variable, machine learning can build an increasingly accurate predictive model. As an end result, we can get a highly useful model and learn which factors are the most important to our hypothesis. 
 

At Radian, this iterative approach is how we tackle innovation. First, we form a hypothesis about how we can make the world a better place. Then we assess the variables and factors that may impact our prediction. Then we engage in the highly iterative process of the scientific method and product development in order to determine the most important variables that produce our desired outcome.  

If you are a maker, thinker, or doer and are interested in collaborating with us, please reach out.

All the best,
Brian Krohn, PhD
Managing Director