Published inTDS ArchiveFrom Text to Networks: The Revolutionary Impact of LLMs on Knowledge GraphsA Step-by-Step Guide to Building and Leveraging Knowledge Graphs with LLMsAug 29, 2024A response icon2Aug 29, 2024A response icon2
Published inTDS ArchiveBeyond Predictions: Uplift Modeling & the Science of Influence (Part I)Hands-On Approach to Uplift with Tree-Based ModelsJan 3, 2024A response icon2Jan 3, 2024A response icon2
Published inTDS ArchiveBuilding Powerful Recommender Systems with Deep LearningA Step-by-Step Implementation Using the PyTorch Library TorchRecJul 3, 2023A response icon1Jul 3, 2023A response icon1
Published inTDS ArchiveSurvival Analysis: Leveraging Deep Learning for Time-to-Event Forecasting (Part II)Practical Application to RehospitalizationApr 21, 2023A response icon2Apr 21, 2023A response icon2
Published inTDS ArchiveSurvival Analysis: Predict Time-To-Event With Machine Learning (Part I)Practical Application to Customer Churn PredictionFeb 9, 2023A response icon4Feb 9, 2023A response icon4
Published indata from the trenchesGraph Neural Networks: Graph Classification (Part III)When It Comes to Labeling Whole Graphs, Not Just NodesSep 1, 2022A response icon2Sep 1, 2022A response icon2
Published indata from the trenchesGraph Neural Networks: Link Prediction (Part II)When It Comes to Forecasting Connections Within a NetworkJul 7, 2022A response icon1Jul 7, 2022A response icon1
Published indata from the trenchesGraph Neural Networks: Merging Deep Learning With Graphs (Part I)When It Comes to Node ClassificationApr 28, 2022A response icon2Apr 28, 2022A response icon2
Published indata from the trenchesCan Deep Learning Change the Game for Time Series Forecasting? (Part II)We introduce the MQ Forecaster & Transformer models and compare their performances against classic ML methods.Nov 18, 2021A response icon3Nov 18, 2021A response icon3
