If you have ever searched on google, ordered food online, browsed an item online, used a messaging app or composed an email, each and every time you came across a machine learning algorithm. A lot of people are interested in learning how to apply machine learning to solve some of their own problems. CCTech has expertise in CAD and Computational Geometry, and we keep experimenting with machine learning to solve problems in geometry. In this blog, we will demonstrate how to apply machine learning to solve a simple geometrical problem of 2D conic shape recognition. Readers will be able to understand various aspects of machine learning and also learn some useful tools. We hope this would serve as a nice tutorial for those who want to build machine learning applications of their own.

Machine learning (ML) techniques are now widely being used in almost all areas of application. Six months back, CCTech Research started investigating how we may use ML in the area of Design of Mechanical Systems. One of the key application we were particularly interested is in Control Valve industry. simulationHub's Control Valve Performer app is already calculating valve performance within minutes compared to weeks in traditional CFD way. But one still yearns for a solution that could predict the flow performance in less than 5 seconds. The machine learning app developed by CCTech research team is now able to predict the value performance within seconds. Read more about the app, what went into creating the app and the app workflow.