self-supervised learning Archives

Side-by-side diagram of PCA whitening vs ZCA whitening transforms applied to the same 2D dataset

by Sanksshep Mahendra Updated June 1, 2026 at 7:21 pm

AI

PCA Whitening vs ZCA Whitening

Why it matters: PCA whitening vs ZCA whitening, side by side. Learn the math, when to pick zca over pca, and copy a working Python recipe.

Siamese networks diagram showing twin encoders with shared weights producing embeddings for contrastive and triplet loss training

by Sanksshep Mahendra Updated June 2, 2026 at 11:04 am

AI

Siamese Networks

Why it matters: Learn how twin-tower models compare two inputs with shared weights, why they beat classifiers at face verification and search, and how to train them.

What Is Unsupervised Learning? Algorithms, Types, and Real-World Examples diagram illustrating K-means clustering, PCA dimensionality reduction, autoencoder anomaly detection, and Apriori association rules on unlabeled data.

by Sanksshep Mahendra Updated August 11, 2026 at 11:47 am

AI

What Is Unsupervised Learning? Algorithms, Types, and Real-World Examples

Why it matters: What is unsupervised learning? Explore top algorithms, types, real-world uses, and how leading firms use clustering, PCA, and self-supervised AI.