(Day 96) GNN Training Pipeline + looking for opportunities this summer

April 6, 2024

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

(Day 95) Designing a GNN layer + becoming a fellow of the Royal Statistical Society

April 5, 2024

Hello :) Today is Day 95!

A quick summary of today:

learned how a GNN layer is constructed and operates (XCS224W: ML with Graphs)
became a fellow of the Royal Statistical Society (I thought I already was)

(Day 94) Link analysis page rank random walks + First assignment + Short intro to GNNs

April 4, 2024

Hello :) Today is Day 94!

A quick summary of today:

Finished the last part of Traditional ML methods for Graphs: Link analysis page rank random walks and embeddings
Did assignment CoLab 1: Learning Node Embeddings
Covered first part of Module 2: Intro to GNNs

(Day 93) Node embeddings in graphs + some foundational statistics/math

April 3, 2024

Hello :) Today is Day 93!

A quick summary of today:

covered lecture 1.2 Node embeddings on XCS224W: ML with Graphs
from Probabilistic Machine Learning: An Introduction, covered:
- chapter 5: Decision theory
- chapter 6: information theory
- chapter 7: linear algebra

(Day 92) Starting the official Stanford XCS224W - ML with Graphs

April 2, 2024

Hello :) Today is Day 92!

A quick summary of today:

got access to the lectures + assignments of XCS224W: ML with Graphs on Stanford’s platform, and covered Lecture 0: Intro to ML with Graphs, and
Lecture 1.1: Traditional ML on Graphs

(Day 91) Probability - Multivariate models and Statistics chapters from Probabilistic Machine Learning

April 1, 2024

Hello :) Today is Day 91!

A quick summary of today:

Covered Chapter 3: Probability: Multivariate models, and
Chapter 4: Statistics of Probabilistic Machine Learning by Kevin Murphy

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