We are committed to creating a safe, collaborative, and inclusive environment for our community.
Current subjects taught by Dr Trivik Verma
Learn how to collect, transform and analyse data using machine learning techniques for understanding urban phenomena.
After successful completion of this course, you will be able to:
interpret and discuss data sources that are usable and relatable for a problem presented.
transform data and consolidate all information into a dataset that is manageable, informative and relates to your problem.
describe and analyse the consolidated dataset(s) to support your problem with evidence.
apply models using statistical techniques and machine learning to infer results in the process of turning data into valuable information.
report results and reflections through visualisation, storytelling and interpretable summaries, especially when faced with a new dataset.
and hopefully get great data-driven policy jobs in the future, or go on adventurous travels with an open mind.
but most importantly become mindful of how ML and data can disrupt and impact the lives of multiple communities.
If you are a student and curious to learn more about urban phenomena, passionate about complex systems science and policy, or care about any urban sectors, reach out to us.
A map of Den Haag, NL created by Bichi Zhang, an MSc student in Computer Science at TU Delft