Machine Learning — definition?
Computers learn from data to make decisions.
Milestone — Perceptron?
An early neural network model for binary classification.
Supervised Learning — role?
Uses labeled data to train predictive models.
Machine Learning — definition?
Subset of AI enabling data-driven decisions.
Algorithm — role?
Analyzes data and finds patterns.
Model — what?
Representation trained to make predictions.
Features — examples?
Input variables like age, income.
Labels — role?
Target outputs like spam/not spam.
Training Data — purpose?
Teaches the model through examples.
Overfitting — what?
Model learns noise, poor generalization.
Answer 10 questions on Introduction to Machine Learning.
1. What is machine learning primarily defined as?
2. Who developed the Perceptron, an early neural network model, in 1957?
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