How Machine Learning Really Works: From Data to Decisions

Discover the truth behind AI: machines that turn raw data into powerful decisions without any real understanding or consciousness. We break down the full pipeline — from data collection and feature engineering to gradient descent, representation learning, and the core of supervised, unsupervised, and reinforcement learning.

Explore why neural networks and other architectures work, plus the hard limits: no common sense, confusing correlation with causation, and persistent biases. Clear, hype-free insight into modern AI.