NextEpoch 2024
Day 1
Introduction to Machine Learning
Learn the fundamentals by writing your own gradient descent algorithm.
Lecture by guest speaker John Jumper of Google DeepMind, first author of AlphaFold2.
Video Study: Building Micrograd.
Question and Answer session with John Jumper.
After 2 days of intense competition and incredible efforts from all participants, we’re excited to announce the top three teams!
1st Place: Nav052 - F1 Score: 0.63519
Nawavi Naleem
Prize: $1,000 GPU credits.
2nd Place: Team SJD - F1 Score: 0.61813
Sheriff Wahab
Jimena Luque
Daniel Ukaegbu
Prize: $500 GPU credits.
3rd Place: The Maple Roos - F1 Score: 0.60544
Nathaniel Dalton
Prize: $250 GPU credits.
We would also like to give an honorable mention to The Wobble Bases: Anastacia Parks, Thomas Costa, and Isabella Nieblas for their outstanding efforts in the worksop and their very strong performance with an F1 Score of 0.59248.
Many thanks to our sponsors vast.ai and Burroughs Wellcome Fund.
A huge congratulations to the winners! Thank you to everyone who participated—you all made this workshop a success!
Overview
Day 3
Competition Day!
Understanding RNA structure is key to understanding its function.
On day 3 you will build a model to predict RNA secondary structure based on its nucleotide sequence.
Day 1:
Lecture: How do Machines Learn?
Guest Speaker: John Jumper
Hands on exercise: Gradient Descent
Day 2:
Lecture: Overview of ML Architectures
Hands on exercise: Classification
Guest Speaker: Yves Martin
Day 3:
Competition: Secondary Structure Prediction
