GNNs & Transformers: 50th Post on this Blog! In AI, Graph Neural Networks (GNNs) and Transformers are both widely used but they are designed for different types of data and problems. GNNs are designed to work with graph-structured data. For example, recommendation systems (users connected to products). GNNs work by passing messages between connected nodes. Each node updates its representation (vector) based on information from its neighbors. Transformers are neural networks d

ML in data scarce regimes

Key AI Algorithms Here are a few important algorithms ones that form the basis of AI: 1. Linear Regression One of the most widely used algorithms, linear regression helps predict a value (like house prices) based on the relationship between variables. 2. Decision Trees Decision trees reflect human decision-making by breaking down decisions into a tree-like model. They work well for classification and regression problems. 3. K-Nearest Neighbors (KNN) KNN classifies data based

Where is AI headed and how will we be impacted? First off, sorry for the delay in posting this blog. I have been a bit busy trying to...

Books, Online Courses, YouTube Channels, DataSets and Platforms to begin Al learning

How is linear algebra used in AI? Linear algebra includes vectors (ordered list of numbers), matrices and their linear transformations....

I have recently started looking into AI and have been playing with some AI models. But I want to understand how it works and therefore...