The WiDS Cambridge Datathon Workshop is an annual workshop preceding the WiDS Cambridge Conference. The workshop aims to provide mentorship and training for those interested in participating in the WiDS Datathon Challenge, and, more generally, anyone with a strong interest in data science.
How is the workshop structured?
The WiDS Datathon workshop consists of a data science/machine learning tutorial followed by a team-based practical session focused on a single data science task. In this workshop:
- you will be introduced to data science/machine learning concepts and methods (especially relevant to the WiDS Datathon Challenge)
- you will be able to form teams during the workshop and get hands-on experience implementing machine learning models and working with the WiDS Datathon dataset
- you will receive mentoring from data scientists and machine learning researchers from universities and tech companies in the Boston area.
Who should sign up for the workshop?
We invite all participants with a strong interest in data science!
Programming experience as well as some previous training in probability, statistics and mathematics is helpful. But we welcome participants from all backgrounds!
How can participants prepare for the workshop?
Participants are encouraged to create an Kaggle account prior to the workshop and bring a laptop to the workshop.