Machine Learning in Architectural Design

Machine learning revolutionizes architectural design by providing powerful tools to analyze, generate, and optimize design solutions.

Machine learning involves showing a large volume of data to a machine to learn, make predictions, find patterns, or classify data.

The machine learning types are:

• Supervised learning

• Unsupervised learning

• Semi-supervised learning

• Reinforcement learning

ML algorithms can be used to analyze and interpret complex data sets, predict building performance, optimize building layouts for energy efficiency, generate design alternatives based on user preferences, and even automate certain design tasks.