Due to the COVID Situation, Summer School will take place only in a virtual format. The focus will be on high-quality engagement and research discussions. We will enable this participation through various tools and techniques.
All current Advanced Undergraduate and Masters students are welcome to apply for the Summer School. We also welcome applications from industry professionals , research associates / academic staff who are recent graduates (Graduated in or after 2018). Students with prior exposure and experience with Machine Learning Research will benefit from the Summer School.
Mandatory Requirements:
Prior course work and development / research experience in the fundamentals of Machine Learning.
Preferred Requirements:
Proficiency in the fundamentals of Machine Learning.
Strong fundamentals in Linear Algebra and Python Programming.
No, registration is free for all selected students.
Yes, attendees for the program will be provided with a participation certificate.
The application form is an integral part to your selection in the program. Besides basic information, please keep the following details handy before you submit the application form:
Curriculum Vitae
Details of your Academic history including Courses and Grades
List of your publications (if any).
Competitive programming profile URLs (if any).
A 500 word analysis (your learnings, insights and discussion points) of the paper "Understanding deep learning requires rethinking generalization".Â