A Mathematical Deep Dive Into the Curse of Dimensionality
Mathematically understanding the surprising phenomena that arise when dealing with data in high dimensions.
Daily Dose of Data Science
Every week, we share practical no-fluff deep dives on topics that truly matter to your skills for succeeding and staying relevant in ML & DS roles.
A Crash Course on Graph Neural Networks (Implementation Included) – Part 3
A practical and beginner-friendly guide to building neural networks on graph data.
A Crash Course on Graph Neural Networks (Implementation Included) – Part 2
A practical and beginner-friendly guide to building neural networks on graph data.
A Crash Course on Graph Neural Networks (Implementation Included) – Part 1
A practical and beginner-friendly guide to building neural networks on graph data.
Formulating and Implementing XGBoost From Scratch
An extensive visual guide to never forget how XGBoost works.
A Crash Course of Model Calibration – Part 2
How to make ML models reflect true probabilities in their predictions?
A Crash Course of Model Calibration – Part 1
How to make ML models reflect true probabilities in their predictions?
Conformal Predictions: Build Confidence in Your ML Model's Predictions
A critical step towards building and using ML models reliably.
