AI Hack is Imperial College Data Science Society's annual datathon where students get to
showcase their analytics skills and meet like-minded aspiring data scientists.
AI Hack will be run mostly virtually this year and will take place from 12th of March —
13th of March. Join from anywhere to hack and listen to our talks!
There will be some merch and also some free food for all participants who signed up for
the in-person tickets.
To be able to produce a good submission, we would recommend some familiarity with some of the following things:
- Data and software engineering: pandas, PyTorch, TensorFlow, Tableau,
parallelisation, docker, GCP or AWS, ipython…
- Data visualisation: dplyr, ggplot, matplotlib, seaborn, plotly
- Machine learning: Nonparametric smoothing, random forests, finite and infinite mixture models, XGboost,
kernel methods, Gaussian processes, neural networks, autoencoders…
- Statistical modelling: frequentist and Bayesian linear models, frequentist and Bayesian hypothesis
testing, Monte Carlo methods, bootstrap simulations, PCA…
If you're starting out in your data science journey and want to use this to gain some experience, that's
completely fine!. You can focus on data visualisation, applying models such as linear regression,
logistic regression and decision trees and also doing hypothesis testing.
We recommend Python, but you could also use R, Julia or any language that can be used
for scientific computing.
The Discord channel set up before the Hackathon itself for all individual sign ups to
meet new people and teammates.
Sadly we won't be able to accommodate people who miss the sign-up date.