Priyansh Saxena·Oct 14The model was the cheap partWhat building an authentication pipeline on 60 GHz radio data taught me about where ML systems actually win or lose.
Udayjoga·Oct 13K-Nearest Neighbors (KNN)That is K-Nearest Neighbors (KNN). To predict something about a new data point, find the K most similar points you already know about, and…
T.kiran·Oct 13You Are Like Your Neighbors: Understanding KNNA beginner-friendly guide to K-Nearest Neighbors, from distance metrics to the curse of dimensionality
Chaithanyareddyboddu·Oct 12K-Nearest Neighbors (KNN): How Machines Learn from Similarity and Distance.Have you ever noticed that people with similar interests often enjoy similar movies, music, or activities? Machine learning uses a similar…
OverTheHead·Oct 12Stop Forcing Your Data Into Circles: The Battle-Tested Guide to DBSCANEarly in my career, I spent three days tuning the k hyperparameter in K-Means to cluster GPS coordinates of delivery couriers across a…
InVector Search From First PrinciplesbyPranshu Shukla·Oct 6Deep Dive: Product Quantization — Distance Error, Bias, and Why Better Estimates Can Rank WorseWhy More Accurate Distances Can Still Produce Worse Nearest-Neighbor Rankings
reza mahmud·Oct 4Machine Learning Part 4: K-Nearest Neighbors (KNN)In Part 3, we explored Logistic Regression, which uses the Sigmoid function to draw a linear decision boundary between classes.
