Applied technology: Machine learning

Machine learning shutterstock_1058815598

The use of machine learning could improve the way we predict cost, quantity, schedule and outcomes for the built environment

01 / What is machine learning?

Machine learning covers a range of techniques that allow computers to improve at a specific task without bespoke programming, in an automated fashion. 

Machine learning’s deep analysis allows us to deal more effectively with imperfect data, find patterns within a dataset and produce models from those patterns. We can then use these models to make predictions based on the historic patterns identified. 

The application of machine learning has previously largely been restricted to highly complex problems where the associated investment can be justified – rarely in the built environment. But recent advances in processing power, storage capacity and cloud services have brought the computing capability and statistical expertise into the affordable reach of commercial organisations, and in much shorter timescales than before. 

Read more…

Already registered? Login here

To continue enjoying Building.co.uk, sign up for free guest access

Existing subscriber? LOGIN

 

Stay at the forefront of thought leadership with news and analysis from award-winning journalists. Enjoy company features, CEO interviews, architectural reviews, technical project know-how and the latest innovations.

  • Limited access to building.co.uk
  • Breaking industry news as it happens
  • Breaking, daily and weekly e-newsletters

Get your free guest access  SIGN UP TODAY

Gated access promo

Subscribe now for unlimited access

 

Subscribe to Building today and you will benefit from:

  • Unlimited access to all stories including expert analysis and comment from industry leaders
  • Our league tables, cost models and economics data
  • Our online archive of over 10,000 articles
  • Building magazine digital editions
  • Building magazine print editions
  • Printed/digital supplements

Subscribe now for unlimited access.

View our subscription options and join our community