Machine Learning
ML
ELI5 — The Vibe Check
Machine Learning is teaching a computer by showing it thousands of examples instead of writing out every rule. Show it 100,000 cat pictures and it learns what a cat looks like — you never had to tell it 'cats have pointy ears and judge you constantly.' The computer figures out the rules itself.
Real Talk
Machine Learning is a subset of AI where algorithms learn patterns from data without being explicitly programmed for each case. Models are trained on labeled or unlabeled datasets to minimize a loss function, gradually improving their predictions. Core paradigms include supervised learning, unsupervised learning, and reinforcement learning.
Show Me The Code
from sklearn.linear_model import LogisticRegression
model = LogisticRegression()
model.fit(X_train, y_train)
predictions = model.predict(X_test)
When You'll Hear This
"We're using machine learning to detect fraud." / "This isn't ML, it's just a hardcoded rule."
Related Terms
AI (Artificial Intelligence)
AI is when you teach a computer to do stuff that normally needs a human brain — like recognizing cats, translating languages, or writing code for you.
Deep Learning
Deep Learning is Machine Learning that's been hitting the gym.
Model
A model is the trained AI — the finished product.
Neural Network
A neural network is a system loosely inspired by the human brain — lots of little math nodes connected together, passing numbers to each other.
Training
Training is the long, expensive process where an AI learns from data.