District Data LabsinDistrict Insights·Dec 17, 2017Computing a Bayesian Estimate of Star Rating MeansBy Benjamin Bengfort Consumers rely on the collective intelligence of other consumers to protect themselves from coffee pots that break at the first sign of water, eating bad food at the wrong restaurant, and stunning flops at the theater. Although occasionally there are metrics like Rotten Tomatoes, we primarily prejudge…Data Science17 min readData Science17 min read
Pedro Martins de BastosinTowards Data Science·Nov 15, 2022How to pick products on Amazon (using bayesian statistics to help you decide)A Case Study of Using Bayesian Inference for Decision Making — One question many of us come across while shopping on Amazon is: how do I compare two ratings? Amazon ratings give us two important pieces of information: the distribution of ratings (how many were five stars, four stars, three stars, two stars or one star) and how many reviews each…Bayesian Statistics17 min readBayesian Statistics17 min read
Isaac Kargar·May 13Member-onlyGraphs to Graph Neural Networks: From Fundamentals to Applications — Part 2b: Knowledge GraphsIsaac: In this post, I will continue learning about knowledge graphs. You can find the first part of this here. 11- What is the difference between a semantic network and a knowledge graph? A semantic network and a knowledge graph are both methods of representing knowledge in a structured way…Deep Learning19 min readDeep Learning19 min read
Isaac Kargar·Apr 16Member-onlyGraphs to Graph Neural Networks: From Fundamentals to Applications — Part 2a: Knowledge GraphsIsaac: In this post, I will start to learn about knowledge graphs. I also started to use the more powerful model of ChatGPT with the GPT-4 model. I hope the responses are better now. I start by asking ChatGPT to give me some questions to learn about knowledge graphs: I…Knowledge Graph15 min readKnowledge Graph15 min read
Isaac KargarinAIGuys·Feb 26Member-onlyGraphs to Graph Neural Networks: From Fundamentals to Applications — Part 1b: Graph Theory FundamentalsIn this post, which is the second post from my blog post series on Graphs, we will go over another 10 questions about graph theory fundamentals. You can find the previous post here: Graphs to Graph Neural Networks: From Fundamentals to Applications — Part 1a: Graph Theory… I decided to start a series of blog posts on Graphs and Graph Neural Networks (GNNs) to learn more about these topics…kargarisaac.medium.comGraph20 min readGraph20 min read
Isaac KargarinAIGuys·Feb 17Member-onlyGraphs to Graph Neural Networks: From Fundamentals to Applications — Part 1a: Graph Theory FundamentalsI decided to start a series of blog posts on Graphs, Knowledge Graphs, and Graph Neural Networks (GNNs) to learn more about these topics. I thought it would also be fun to test ChatGPT and the new Bing, which I got access to recently, and see how they can help…Deep Learning19 min readDeep Learning19 min read
AI TutorMasterinArtificial Intelligence in Plain English·Jan 14Member-onlyGraph Neural Networks — Introduction for BeginnersA Graph Neural Network (GNN) is a type of neural network that is designed to work with graph-structured data, such as data that represents relationships between entities. GNNs are typically used for tasks such as node classification, link prediction, and graph classification. A key component of a GNN is the…Gnn10 min readGnn10 min read
