Collection of AI related resources. Machine Learning Fundamentals Understanding AUC - ROC Curve Animations with receiver operating characteristic and precision-recal curves The Challenge of Vanishing/Exploding Gradients in Deep Neural Networks Clustering The 5 Clustering Algorithms Data Scientists Need to Know Deep Learning Fundamentals Neural Networks, Manifolds, and Topology RNN Visualizing memorization in RNNs CNN CNN Explainer Miscellaneous Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Data Tree-based Models Fundamentals Decision Trees: Which feature to split on? XGBoost Official Tutorials What makes “XGBoost” so Extreme? LightGBM Paper What makes LightGBM lightning fast? You Are Missing Out on LightGBM. It Crushes XGBoost in Every Aspect Visualization How to visualize decision trees Natural Language Processing Transformer The Illustrated Transformer BERT BERT Explained: State of the art language model for NLP The Illustrated BERT, ELMo, and co. (How NLP Cracked Transfer Learning) What Happens To BERT Embeddings During Fine-tuning? (ACL 2020)