Knowledge Distillation vs QuantizationQuantization: Shrinking the Textbook 📚→📘 Goal: Make models smaller and faster by reducing numerical precision.Jun 15Jun 15
Principal Components AnalysisPCA Explained Like a Pizza Party! 🍕 Imagine you have a giant pizza with 10 toppings (pepperoni, mushrooms, etc.), but you only care about…Jun 2Jun 2
Naive Bayes Classifier, Additive Smoothing and Laplace SmoothingLet’s use a simple pizza review example to explain these concepts in sentiment analysis! 🍕😊😞 1. Naive Bayes Classifier (The Pizza…Jun 1Jun 1
Boosting & Strong Leaders in Machine Learning🚀 Boosting & Strong Leaders in Machine Learning: A Superhero Story! Imagine you’re training a team of superheroes to catch a sneaky…Jun 1Jun 1
Ensemble Algorithms🌳 Ensemble Algorithms: The Super Team of Machine Learning! Imagine you’re playing a guessing game (like “20 Questions”), and instead of…Jun 1Jun 1
Bagging & Random ForestWhat is Bagging (Bootstrap Aggregating)? (Like Asking Many Friends!) Imagine you’re playing “Guess the Animal” with your classmates…Jun 1Jun 1
Understanding Knowledge in AIHere’s a fun, simple explanation of these AI logic concepts using toys, food, and games that a primary school kid would understandMay 24May 24
