50+ days of Machine Learning

 Hello :) Today is Day 105! A quick summary of today: Frequent Subgraph Mining with GNNs (covered the next part of Stanford's XCS224W: ML with Graphs ) Covered topics: Subgraphs, graph isomorphism, subgraph isomorphism, network motifs, subgraph frequency, motif significance, Z-score for statistical significance, significance profile, subgraph matching, isomorphism as an ML task, Order Embedding Space, training neural subgraph matching, frequent motif mining, SPMiner That is all for today! See you tomorrow :)

 Hello :) Today is Day 104! A quick summary of today: covered Reasoning over Knowledge Graphs (last part of the module about Knowledge Graphs from XCS224W: ML With Graphs )  Covered topics: one-hop queries, path queries, predictive queries, conjunctive queries, Query2box, entity-to-box distance, embeddings AND-OR queries, Query2box training That is all for today! See you tomorrow :)

 Hello :) Today is Day 103! A quick summary of today: continued with XCS224W: ML with Graphs  and covered 2/3rds of module 5: Knowledge Graphs 1st part is about ML with Heterogeneous graphs, and 2nd part is about Knowledge Graph embeddings. ML with Heterogeneous graphs Covered topics: heterogeneous graph,s Relational GCNs, benchmarks for heterogeneous graphs, Heterogeneous Graph Transformers, designing, heterogeneous GNNs Knowledge Graph embeddings Covered topics: why do we need KGs, KG completion task, connectivity patterns in KGs, TransE, TransR, DistMult, ComplEx, KG embeddings in practice That is all for today! See you tomorrow :)

 Hello :) Today is Day 102! A quick summary of today: continued with XCS224W: ML with Graphs  and covered the next part - Label propagation Before I share my notes, I saw that all the 3 major cloud providers - AWS, GCP and Azure have beginner cloud certification. But I am yet to decide in which one to invest more time and eventually money for the exam. One the one hand, yes it is basic intro to the respective company's cloud platform, but it also can show some initiative and show that I know at least something about the cloud to potential employers. I made post on 2 subredits (learnmachinelearning and deeplearning) and asked on 2 discord servers, but so far not many people voted, but AWS seems to be winning. I will keep this certification in mind. Besides that, continued with the XCS224W: ML with graphs course and covered the next module which is about label propagation, and below are my notes. Covered topics: correlations in networks (homophily and influence), how do we lever...