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Fundamentals
3 posts
Basics7 minWhat Is Machine Learning? Computers That Learn From Examples
A plain-language guide to machine learning: learning from examples, supervised and unsupervised learning, training versus prediction, and what ML is not.
Fundamentals8 minOverfitting and Regularization: Why Models Memorize Instead of Learn
Why do models memorize? An intuitive guide to overfitting and regularization: dropout, L1/L2, early stopping, and cross-validation explained with everyday examples.
Fundamentals6 minEmbedding Models and Semantic Similarity: Vectors That Turn Text Into Meaning
An intuitive guide to turning text into vectors, cosine similarity, choosing an embedding model, and multilingual embeddings, with everyday analogies and a short code example.