Published inTowards Data ScienceFrom Text to Networks: The Revolutionary Impact of LLMs on Knowledge GraphsA Step-by-Step Guide to Building and Leveraging Knowledge Graphs with LLMsAug 292Aug 292
Published inTowards Data ScienceBeyond Predictions: Uplift Modeling & the Science of Influence (Part I)Hands-On Approach to Uplift with Tree-Based ModelsJan 32Jan 32
Published inTowards Data ScienceBuilding Powerful Recommender Systems with Deep LearningA Step-by-Step Implementation Using the PyTorch Library TorchRecJul 3, 20231Jul 3, 20231
Published inTowards Data ScienceSurvival Analysis: Leveraging Deep Learning for Time-to-Event Forecasting (Part II)Practical Application to RehospitalizationApr 21, 20232Apr 21, 20232
Published inTowards Data ScienceSurvival Analysis: Predict Time-To-Event With Machine Learning (Part I)Practical Application to Customer Churn PredictionFeb 9, 20234Feb 9, 20234
Published indata from the trenchesGraph Neural Networks: Graph Classification (Part III)When It Comes to Labeling Whole Graphs, Not Just NodesSep 1, 20222Sep 1, 20222
Published indata from the trenchesGraph Neural Networks: Link Prediction (Part II)When It Comes to Forecasting Connections Within a NetworkJul 7, 20221Jul 7, 20221
Published indata from the trenchesGraph Neural Networks: Merging Deep Learning With Graphs (Part I)When It Comes to Node ClassificationApr 28, 20222Apr 28, 20222
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, 20213Nov 18, 20213
