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About
In this webinar, we will explore the integration of Machine Learning and Parametric Models for the purpose of early design space exploration and optimization. Several case studies will be used to describe the different considerations and best-practices regarding setting up parametric models, generating and extracting data, applying learning tasks (classification vs regression), and optimizing, selecting & deploying models into production.
Price
$19.00
Language
English
Who can attend
Everyone
Webinar ID
763736112d93
Dial-in available? (listen only)
Yes.
Dial-in Number
Registration is full. If you have already registered, please log in or use the link from your registration confirmation email.
Agenda
  • A quick set up of Anaconda and libraries
  • Case study 1: Parametric Energy Simulation (Machine Learning)
  • Case study 2: Daylight analysis (Machine Learning)
  • Case study 3: Urban solar radiation (Deep Learning)
  • Thoughts and future steps
Categories

Hosted By Thank God It's Computational

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