50+ days of Machine Learning

 Hello :) Today is Day 96! A quick summary of today: covered the GNN training pipeline from Stanford's XCS224W: ML with Graphs applied for a few internships this summer + found theforage My notes from the training pipeline lectures Covered topics: graph augmentation, feature augmentation, training GNNs on a node-level, edge-level and graph-level, pooling for graph-level tasks, DiffPool, supervised, unsupervised and self-supervised learning, loss functions, evaluation metrics, splitting data Looking for opportunities this summer I am in South Korea, but I still have the right to work in the UK, so I decided to go on Bright Network to look for data analytics/science internships and saw some good opportunities. I hope that if a company shows interest they would do an online interview. In addition, I found TheForage  which provides free virtual interships. Though short, they could give some interesting perspectives into the work life of a software engineer or investment banker (these a