Who is organizing the workshop?
This year’s workshop is organized by Sharut Gupta (MIT CSAIL), Arushi Jain (Microsoft), and Claire Tinker (IBM).
Register for the workshop!
Registrations are now CLOSED!! We will post all solutions on this website after the workshop.
What will you do at the workshop?
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
You will be able to form teams during the workshop and get hands-on experience implementing machine learning models and working on WiDS Datathon Challenge
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!
Where and when is the workshop?
This year the workshop will be held in person on Saturday, April 12th, from 9:00am to 5:00pm ET at Microsoft NERD Center, One Memorial Drive, Cambridge, MA 02142.
Agenda:
9:00-9:15 Opening Remarks (15 minutes)
9:15-9:45 Networking (30 minutes)
9:45-10:30 Keynote Presentation (45 minutes)
10:30-11:15 Module I
11:15-1:00 Module II
1:00-2:00 Lunch break
2:00-3:30 Module III - Technical content
3:30-3:45 Intermediate Check-in (15 minutes)
3:45-4:45 Resume back on solution building in teams with mentors (60 minutes)
4:45-5:00 Closing remarks (15 minutes)
What is the format of the workshop?
The technical content for the workshop will be delivered in-person at Microsoft NERD Center in Cambridge. During the workshop meetings, participants will form teams and work on the datathon challenge with the guidance of mentors and organizers.
Preparing for the Workshop
Create a Kaggle account
Navigate to www.kaggle.com
Follow instructions to create an account.
Familiarize yourself with DeepNote and python
Create a free DeepNote account in DeepNote.
Read about the two different types of cells (code and text) in a DeepNote notebook.
Make sure you know how to ‘run’ or ‘render’ a cell.
Work Through the Starter Materials for the Workshop (to be shared soon)