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Unscheduled instructor led

Provided by: Department of Chemistry


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Chemistry: CDT Introduction to Probablistic Modelling
New

Unscheduled instructor led

Description

An applied introduction to probabilistic modelling, machine learning and artificial intelligence-based approaches for students with little or no background in theory and modelling. The course will be taught through a series of case studies from the current literature in which modelling approaches have been applied to large datasets from chemistry and biochemistry. Data and code will be made available to students and discussed in class. Students will become familiar with python based tools that implement the models though practical sessions and group based assignments.

Target audience
  • Syntech CDT postgraduates
Duration

2 sessions. 1 hour each session

Theme
SynTech CDT

Booking / availability